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| acoustic signal processing for telecommunication: Acoustic Signal Processing for Telecommunication Steven L. Gay, Jacob Benesty, 2012-12-06 158 2. Wiener Filtering 159 3. Speech Enhancement by Short-Time Spectral Modification 3. 1 Short-Time Fourier Analysis and Synthesis 159 160 3. 2 Short-Time Wiener Filter 161 3. 3 Power Subtraction 3. 4 Magnitude Subtraction 162 3. 5 Parametric Wiener Filtering 163 164 3. 6 Review and Discussion Averaging Techniques for Envelope Estimation 169 4. 169 4. 1 Moving Average 170 4. 2 Single-Pole Recursion 170 4. 3 Two-Sided Single-Pole Recursion 4. 4 Nonlinear Data Processing 171 5. Example Implementation 172 5. 1 Subband Filter Bank Architecture 172 173 5. 2 A-Posteriori-SNR Voice Activity Detector 5. 3 Example 175 6. Conclusion 175 Part IV Microphone Arrays 10 Superdirectional Microphone Arrays 181 Gary W. Elko 1. Introduction 181 2. Differential Microphone Arrays 182 3. Array Directional Gain 192 4. Optimal Arrays for Spherically Isotropic Fields 193 4. 1 Maximum Gain for Omnidirectional Microphones 193 4. 2 Maximum Directivity Index for Differential Microphones 195 4. 3 Maximimum Front-to-Back Ratio 197 4. 4 Minimum Peak Directional Response 200 4. 5 Beamwidth 201 5. Design Examples 201 5. 1 First-Order Designs 202 5. 2 Second-Order Designs 207 5. 3 Third-Order Designs 216 5. 4 Higher-Order designs 221 6. Optimal Arrays for Cylindrically Isotropic Fields 222 6. 1 Maximum Gain for Omnidirectional Microphones 222 6. 2 Optimal Weights for Maximum Directional Gain 224 6. 3 Solution for Optimal Weights for Maximum Front-to-Back Ratio for Cylindrical Noise 225 7. Sensitivity to Microphone Mismatch and Noise 230 8. |
| acoustic signal processing for telecommunication: Audio Signal Processing for Next-Generation Multimedia Communication Systems Yiteng (Arden) Huang, Jacob Benesty, 2007-05-08 Audio Signal Processing for Next-Generation Multimedia Communication Systems presents cutting-edge digital signal processing theory and implementation techniques for problems including speech acquisition and enhancement using microphone arrays, new adaptive filtering algorithms, multichannel acoustic echo cancellation, sound source tracking and separation, audio coding, and realistic sound stage reproduction. This book's focus is almost exclusively on the processing, transmission, and presentation of audio and acoustic signals in multimedia communications for telecollaboration where immersive acoustics will play a great role in the near future. |
| acoustic signal processing for telecommunication: Underwater Acoustic Digital Signal Processing and Communication Systems Robert Istepanian, Milica Stojanovic, 2013-03-09 Underwater acoustic digital signal processing and communications is an area of applied research that has witnessed major advances over the past decade. Rapid developments in this area were made possible by the use of powerful digital signal processors (DSPs) whose speed, computational power and portability allowed efficient implementation of complex signal processing algorithms and experimental demonstration of their performance in a variety of underwater environments. The early results served as a motivation for the development of new and improved signal processing methods for underwater applications, which today range from classical of autonomous underwater vehicles and sonar signal processing, to remote control underwater wireless communications. This book presents the diverse areas of underwater acoustic signal processing and communication systems through a collection of contributions from prominent researchers in these areas. Their results, both new and those published over the past few years, have been assembled to provide what we hope is a comprehensive overview of the recent developments in the field. The book is intended for a general audience of researchers, engineers and students working in the areas of underwater acoustic signal processing. It requires the reader to have a basic understanding of the digital signal processing concepts. Each topic is treated from a theoretical perspective, followed by practical implementation details. We hope that the book can serve both as a study text and an academic reference. |
| acoustic signal processing for telecommunication: Handbook of Signal Processing in Acoustics David Havelock, Sonoko Kuwano, Michael Vorländer, 2008-10-26 The Handbook of Signal Processing in Acoustics brings together a wide range of perspectives from over 100 authors to reveal the interdisciplinary nature of the subject. It brings the key issues from both acoustics and signal processing into perspective and is a unique resource for experts and practitioners alike to find new ideas and techniques within the diversity of signal processing in acoustics. |
| acoustic signal processing for telecommunication: Advanced Signal Processing and Digital Noise Reduction Saeed V. Vaseghi, 2013-03-09 |
| acoustic signal processing for telecommunication: Signal Processing for Communications Paolo Prandoni, Martin Vetterli, 2008-06-17 With a novel, less classical approach to the subject, the authors have written a book with the conviction that signal processing should be taught to be fun. The treatment is therefore less focused on the mathematics and more on the conceptual aspects, the idea being to allow the readers to think about the subject at a higher conceptual level, thus building the foundations for more advanced topics. The book remains an engineering text, with the goal of helping students solve real-world problems. In this vein, the last chapter pulls together the individual topics as discussed throughout the book into an in-depth look at the development of an end-to-end communication system, namely, a modem for communicating digital information over an analog channel. |
| acoustic signal processing for telecommunication: Adaptive Signal Processing Yiteng Huang, 2003-02-06 For the first time, a reference on the most relevant applications of adaptive filtering techniques. Top researchers in the field contributed chapters addressing applications in acoustics, speech, wireless and networking, where research is still very active and open. |
| acoustic signal processing for telecommunication: Underwater Acoustic Digital Signal Processing and Communication Systems Robert Istepanian, Milica Stojanovic, 2010-12-03 Underwater acoustic digital signal processing and communications is an area of applied research that has witnessed major advances over the past decade. Rapid developments in this area were made possible by the use of powerful digital signal processors (DSPs) whose speed, computational power and portability allowed efficient implementation of complex signal processing algorithms and experimental demonstration of their performance in a variety of underwater environments. The early results served as a motivation for the development of new and improved signal processing methods for underwater applications, which today range from classical of autonomous underwater vehicles and sonar signal processing, to remote control underwater wireless communications. This book presents the diverse areas of underwater acoustic signal processing and communication systems through a collection of contributions from prominent researchers in these areas. Their results, both new and those published over the past few years, have been assembled to provide what we hope is a comprehensive overview of the recent developments in the field. The book is intended for a general audience of researchers, engineers and students working in the areas of underwater acoustic signal processing. It requires the reader to have a basic understanding of the digital signal processing concepts. Each topic is treated from a theoretical perspective, followed by practical implementation details. We hope that the book can serve both as a study text and an academic reference. |
| acoustic signal processing for telecommunication: Handbook of Signal Processing in Acoustics David Havelock, 2008 |
| acoustic signal processing for telecommunication: Acoustic MIMO Signal Processing Yiteng Huang, Jacob Benesty, Jingdong Chen, 2009-09-02 Telecommunication systems and human-machine interfaces have begun using multiple microphones and loudspeakers to render interaction more lifelike, and more efficient. This raises acoustic signal processing problems under multiple-input multiple-output (MIMO) scenarios, encompassing distant speech acquisition, sound source localization and tracking, echo and noise control, source separation and speech dereverberation, and many others. The book opens with an acoustic MIMO paradigm, establishing fundamentals, and linking acoustic MIMO signal processing with classical signal processing and communication theories. The second part of the book presents a novel analysis of acoustic applications carried out in the paradigm to reinforce the fundamentals of acoustic MIMO signal processing. |
| acoustic signal processing for telecommunication: Digital Signal Processing in Telecommunications Anibal R. Figueiras-Vidal, 1996-10-11 This publication deals with the application of advanced digital signal processing techniques and neural networks to various telecommunication problems. It consists of eight selected contributions to the European Project COST#229. The editor presents the latest research results in areas such as arrays, mobile channels, acoustic echo cancellation, speech coding and adaptive filtering in varying environments. He also gives an overview of new approaches to communication tasks by using new technologies. These include: image coding by means of fractals and neural networks and neural network channel equalisation. A deep insight is given into the present possibilities and research avenues in the area of information processing for communication applications. Digital Signal Processing in Telecommunications will be of particular interest to researchers and telecommunications professionals. |
| acoustic signal processing for telecommunication: Acoustic MIMO Signal Processing Yiteng Huang, Jacob Benesty, Jingdong Chen, 2006-11-22 Telecommunication systems and human-machine interfaces have begun using multiple microphones and loudspeakers to render interaction more lifelike, and more efficient. This raises acoustic signal processing problems under multiple-input multiple-output (MIMO) scenarios, encompassing distant speech acquisition, sound source localization and tracking, echo and noise control, source separation and speech dereverberation, and many others. The book opens with an acoustic MIMO paradigm, establishing fundamentals, and linking acoustic MIMO signal processing with classical signal processing and communication theories. The second part of the book presents a novel analysis of acoustic applications carried out in the paradigm to reinforce the fundamentals of acoustic MIMO signal processing. |
| acoustic signal processing for telecommunication: Evolution in Signal Processing and Telecommunication Networks P. Satish Rama Chowdary, Jaume Anguera, Suresh Chandra Satapathy, Vikrant Bhateja, 2022-03-23 This book discusses the latest developments and outlines future trends in the fields of microelectronics, electromagnetics and telecommunication. It contains original research works presented at the International Conference on Microelectronics, Electromagnetics and Telecommunication (ICMEET 2021), held in Bhubaneswar, Odisha, India during 27–28 August, 2021. The papers were written by scientists, research scholars and practitioners from leading universities, engineering colleges and R&D institutes from all over the world and share the latest breakthroughs in and promising solutions to the most important issues facing today’s society. |
| acoustic signal processing for telecommunication: Fundamentals of Signals and Systems Using MATLAB Edward W. Kamen, Bonnie S. Heck, 1997 This text presents an accessible yet comprehensive analytical treatment of signals and systems, and also incorporates a strong emphasis on solving problems and exploring concepts using MATLAB |
| acoustic signal processing for telecommunication: Communication Acoustics Ville Pulkki, Matti Karjalainen, 2015-01-27 In communication acoustics, the communication channel consists of a sound source, a channel (acoustic and/or electric) and finally the receiver: the human auditory system, a complex and intricate system that shapes the way sound is heard. Thus, when developing techniques in communication acoustics, such as in speech, audio and aided hearing, it is important to understand the time–frequency–space resolution of hearing. This book facilitates the reader’s understanding and development of speech and audio techniques based on our knowledge of the auditory perceptual mechanisms by introducing the physical, signal-processing and psychophysical background to communication acoustics. It then provides a detailed explanation of sound technologies where a human listener is involved, including audio and speech techniques, sound quality measurement, hearing aids and audiology. Key features: Explains perceptually-based audio: the authors take a detailed but accessible engineering perspective on sound and hearing with a focus on the human place in the audio communications signal chain, from psychoacoustics and audiology to optimizing digital signal processing for human listening. Presents a wide overview of speech, from the human production of speech sounds and basics of phonetics to major speech technologies, recognition and synthesis of speech and methods for speech quality evaluation. Includes MATLAB examples that serve as an excellent basis for the reader’s own investigations into communication acoustics interaction schemes which intuitively combine touch, vision and voice for lifelike interactions. |
| acoustic signal processing for telecommunication: Acoustic Array Systems Mingsian R. Bai, Jeong-Guon Ih, Jacob Benesty, 2013-03-07 Presents a unified framework of far-field and near-field array techniques for noise source identification and sound field visualization, from theory to application. Acoustic Array Systems: Theory, Implementation, and Application provides an overview of microphone array technology with applications in noise source identification and sound field visualization. In the comprehensive treatment of microphone arrays, the topics covered include an introduction to the theory, far-field and near-field array signal processing algorithms, practical implementations, and common applications: vehicles, computing and communications equipment, compressors, fans, and household appliances, and hands-free speech. The author concludes with other emerging techniques and innovative algorithms. Encompasses theoretical background, implementation considerations and application know-how Shows how to tackle broader problems in signal processing, control, and transudcers Covers both farfield and nearfield techniques in a balanced way Introduces innovative algorithms including equivalent source imaging (NESI) and high-resolution nearfield arrays Selected code examples available for download for readers to practice on their own Presentation slides available for instructor use A valuable resource for Postgraduates and researchers in acoustics, noise control engineering, audio engineering, and signal processing. |
| acoustic signal processing for telecommunication: Springer Handbook of Speech Processing Jacob Benesty, M. M. Sondhi, Yiteng Huang, 2007-11-28 This handbook plays a fundamental role in sustainable progress in speech research and development. With an accessible format and with accompanying DVD-Rom, it targets three categories of readers: graduate students, professors and active researchers in academia, and engineers in industry who need to understand or implement some specific algorithms for their speech-related products. It is a superb source of application-oriented, authoritative and comprehensive information about these technologies, this work combines the established knowledge derived from research in such fast evolving disciplines as Signal Processing and Communications, Acoustics, Computer Science and Linguistics. |
| acoustic signal processing for telecommunication: Study and Design of Differential Microphone Arrays Jacob Benesty, Chen Jingdong, 2012-10-23 Microphone arrays have attracted a lot of interest over the last few decades since they have the potential to solve many important problems such as noise reduction/speech enhancement, source separation, dereverberation, spatial sound recording, and source localization/tracking, to name a few. However, the design and implementation of microphone arrays with beamforming algorithms is not a trivial task when it comes to processing broadband signals such as speech. Indeed, in most sensor arrangements, the beamformer output tends to have a frequency-dependent response. One exception, perhaps, is the family of differential microphone arrays (DMAs) who have the promise to form frequency-independent responses. Moreover, they have the potential to attain high directional gains with small and compact apertures. As a result, this type of microphone arrays has drawn much research and development attention recently. This book is intended to provide a systematic study of DMAs from a signal processing perspective. The primary objective is to develop a rigorous but yet simple theory for the design, implementation, and performance analysis of DMAs. The theory includes some signal processing techniques for the design of commonly used first-order, second-order, third-order, and also the general Nth-order DMAs. For each order, particular examples are given on how to form standard directional patterns such as the dipole, cardioid, supercardioid, hypercardioid, subcardioid, and quadrupole. The study demonstrates the performance of the different order DMAs in terms of beampattern, directivity factor, white noise gain, and gain for point sources. The inherent relationship between differential processing and adaptive beamforming is discussed, which provides a better understanding of DMAs and why they can achieve high directional gain. Finally, we show how to design DMAs that can be robust against white noise amplification. |
| acoustic signal processing for telecommunication: Modelling, Simulation and Data Analysis in Acoustical Problems Claudio Guarnaccia, Lamberto Tronchin, Massimo Viscardi, 2020-06-23 Modelling and simulation in acoustics is currently gaining importance. In fact, with the development and improvement of innovative computational techniques and with the growing need for predictive models, an impressive boost has been observed in several research and application areas, such as noise control, indoor acoustics, and industrial applications. This led us to the proposal of a special issue about “Modelling, Simulation and Data Analysis in Acoustical Problems”, as we believe in the importance of these topics in modern acoustics’ studies. In total, 81 papers were submitted and 33 of them were published, with an acceptance rate of 37.5%. According to the number of papers submitted, it can be affirmed that this is a trending topic in the scientific and academic community and this special issue will try to provide a future reference for the research that will be developed in coming years. |
| acoustic signal processing for telecommunication: Speech Dereverberation Patrick A. Naylor, Nikolay D. Gaubitch, 2010-07-27 Speech Dereverberation gathers together an overview, a mathematical formulation of the problem and the state-of-the-art solutions for dereverberation. Speech Dereverberation presents current approaches to the problem of reverberation. It provides a review of topics in room acoustics and also describes performance measures for dereverberation. The algorithms are then explained with mathematical analysis and examples that enable the reader to see the strengths and weaknesses of the various techniques, as well as giving an understanding of the questions still to be addressed. Techniques rooted in speech enhancement are included, in addition to a treatment of multichannel blind acoustic system identification and inversion. The TRINICON framework is shown in the context of dereverberation to be a generalization of the signal processing for a range of analysis and enhancement techniques. Speech Dereverberation is suitable for students at masters and doctoral level, as well as established researchers. |
| acoustic signal processing for telecommunication: Subband Adaptive Filtering Kong-Aik Lee, Woon-Seng Gan, Sen M. Kuo, 2009-07-06 Subband adaptive filtering is rapidly becoming one of the most effective techniques for reducing computational complexity and improving the convergence rate of algorithms in adaptive signal processing applications. This book provides an introductory, yet extensive guide on the theory of various subband adaptive filtering techniques. For beginners, the authors discuss the basic principles that underlie the design and implementation of subband adaptive filters. For advanced readers, a comprehensive coverage of recent developments, such as multiband tap–weight adaptation, delayless architectures, and filter–bank design methods for reducing band–edge effects are included. Several analysis techniques and complexity evaluation are also introduced in this book to provide better understanding of subband adaptive filtering. This book bridges the gaps between the mixed–domain natures of subband adaptive filtering techniques and provides enough depth to the material augmented by many MATLAB® functions and examples. Key Features: Acts as a timely introduction for researchers, graduate students and engineers who want to design and deploy subband adaptive filters in their research and applications. Bridges the gaps between two distinct domains: adaptive filter theory and multirate signal processing. Uses a practical approach through MATLAB®-based source programs on the accompanying CD. Includes more than 100 M-files, allowing readers to modify the code for different algorithms and applications and to gain more insight into the theory and concepts of subband adaptive filters. Subband Adaptive Filtering is aimed primarily at practicing engineers, as well as senior undergraduate and graduate students. It will also be of interest to researchers, technical managers, and computer scientists. |
| acoustic signal processing for telecommunication: Advances in Fundamental and Applied Research on Spatial Audio Brian F.G. Katz, Piotr Majdak, 2022-10-05 Spatial audio is a dynamic and rapidly evolving field, as it is closely linked to advances in computer technology and digital signal processing. The democratization of virtual reality hardware available as consumer devices has moved the field further out of traditional laboratory research, and directly into applied research targeting a wide range of consumers. Advances in Fundamental and Applied Research on Spatial Audio presents a collection of eight peer-reviewed chapters on this exciting area of research. The contributions are organized into three sections: “Acoustic Methodology”, “Perception”, and “Applications”, and cover a range of topics, addressing both headphone- and loudspeaker-based reproductions, offering both methodological overviews and specific case studies. |
| acoustic signal processing for telecommunication: Microphone Arrays Michael Brandstein, Darren Ward, 2013-04-17 The study and implementation of microphone arrays originated over 20 years ago. Thanks to the research and experimental developments pursued to the present day, the field has matured to the point that array-based technology now has immediate applicability to a number of current systems and a vast potential for the improvement of existing products and the creation of future devices. In putting this book together, our goal was to provide, for the first time, a single complete reference on microphone arrays. We invited the top re searchers in the field to contribute articles addressing their specific topic(s) of study. The reception we received from our colleagues was quite enthusi astic and very encouraging. There was the general consensus that a work of this kind was well overdue. The results provided in this collection cover the current state of the art in microphone array research, development, and technological application. This text is organized into four sections which roughly follow the major areas of microphone array research today. Parts I and II are primarily the oretical in nature and emphasize the use of microphone arrays for speech enhancement and source localization, respectively. Part III presents a num ber of specific applications of array-based technology. Part IV addresses some open questions and explores the future of the field. |
| acoustic signal processing for telecommunication: Real-time Digital Signal Processing Sen-Maw Kuo, 2003 |
| acoustic signal processing for telecommunication: Speech Processing in Modern Communication Israel Cohen, Jacob Benesty, Sharon Gannot, 2009-12-18 Modern communication devices, such as mobile phones, teleconferencing systems, VoIP, etc., are often used in noisy and reverberant environments. Therefore, signals picked up by the microphones from telecommunication devices contain not only the desired near-end speech signal, but also interferences such as the background noise, far-end echoes produced by the loudspeaker, and reverberations of the desired source. These interferences degrade the fidelity and intelligibility of the near-end speech in human-to-human telecommunications and decrease the performance of human-to-machine interfaces (i.e., automatic speech recognition systems). The proposed book deals with the fundamental challenges of speech processing in modern communication, including speech enhancement, interference suppression, acoustic echo cancellation, relative transfer function identification, source localization, dereverberation, and beamforming in reverberant environments. Enhancement of speech signals is necessary whenever the source signal is corrupted by noise. In highly non-stationary noise environments, noise transients, and interferences may be extremely annoying. Acoustic echo cancellation is used to eliminate the acoustic coupling between the loudspeaker and the microphone of a communication device. Identification of the relative transfer function between sensors in response to a desired speech signal enables to derive a reference noise signal for suppressing directional or coherent noise sources. Source localization, dereverberation, and beamforming in reverberant environments further enable to increase the intelligibility of the near-end speech signal. |
| acoustic signal processing for telecommunication: Advanced Signal Processing for Communication Systems Tadeusz Wysocki, Michael Darnell, Bahram Honary, 2013-07-10 Advanced Signal Processing for Communication Systems consists of 20 contributions from researchers and experts. The first group of chapters deals with the audio and video processing for communications applications, including topics ranging from multimedia content delivery over the Internet, through the speech processing and recognition to recognition of non-speech sounds that can be attributed to the surrounding environment. The book also includes sections on applications of error control coding, information theory, and digital signal processing for communication systems like modulation, software-defined radio, and channel estimation. Advanced Signal Processing for Communication Systems is written for researchers working on communication systems and signal processing, as well as telecommunications industry professionals. |
| acoustic signal processing for telecommunication: NASA Thesaurus , 1982 Contains the authorized subject terms by which the documents in the NASA STI Database are indexed and retrieved. |
| acoustic signal processing for telecommunication: Immersive Audio Signal Processing Sunil Bharitkar, Chris Kyriakakis, 2006-06-09 This graduate-level text lays out the foundation of DSP for audio and the fundamentals of auditory perception, then goes on to discuss immersive audio rendering and synthesis, the digital equalization of room acoustics, and various DSP implementations. It covers a variety of topics and up-to-date results in immersive audio processing research: immersive audio synthesis and rendering, multichannel room equalization, audio selective signal cancellation, multirate signal processing for audio applications, surround sound processing, psychoacoustics and its incorporation in audio signal processing algorithms for solving various problems, and DSP implementations of audio processing algorithms on semiconductor devices. |
| acoustic signal processing for telecommunication: Least-Mean-Square Adaptive Filters Simon Haykin, Bernard Widrow, 2003-09-08 Edited by the original inventor of the technology. Includes contributions by the foremost experts in the field. The only book to cover these topics together. |
| acoustic signal processing for telecommunication: Wireless Communications Andreas F. Molisch, 2012-02-06 Professor Andreas F. Molisch, renowned researcher and educator, has put together the comprehensive book, Wireless Communications. The second edition, which includes a wealth of new material on important topics, ensures the role of the text as the key resource for every student, researcher, and practitioner in the field. —Professor Moe Win, MIT, USA Wireless communications has grown rapidly over the past decade from a niche market into one of the most important, fast moving industries. Fully updated to incorporate the latest research and developments, Wireless Communications, Second Edition provides an authoritative overview of the principles and applications of mobile communication technology. The author provides an in-depth analysis of current treatment of the area, addressing both the traditional elements, such as Rayleigh fading, BER in flat fading channels, and equalisation, and more recently emerging topics such as multi-user detection in CDMA systems, MIMO systems, and cognitive radio. The dominant wireless standards; including cellular, cordless and wireless LANs; are discussed. Topics featured include: wireless propagation channels, transceivers and signal processing, multiple access and advanced transceiver schemes, and standardised wireless systems. Combines mathematical descriptions with intuitive explanations of the physical facts, enabling readers to acquire a deep understanding of the subject. Includes new chapters on cognitive radio, cooperative communications and relaying, video coding, 3GPP Long Term Evolution, and WiMax; plus significant new sections on multi-user MIMO, 802.11n, and information theory. Companion website featuring: supplementary material on 'DECT', solutions manual and presentation slides for instructors, appendices, list of abbreviations and other useful resources. |
| acoustic signal processing for telecommunication: Advanced Digital Signal Processing and Noise Reduction Saeed V. Vaseghi, 2008-12-23 Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete and noisy and therefore noise reduction, the removal of channel distortion, and replacement of lost samples are important parts of a signal processing system. The fourth edition of Advanced Digital Signal Processing and Noise Reduction updates and extends the chapters in the previous edition and includes two new chapters on MIMO systems, Correlation and Eigen analysis and independent component analysis. The wide range of topics covered in this book include Wiener filters, echo cancellation, channel equalisation, spectral estimation, detection and removal of impulsive and transient noise, interpolation of missing data segments, speech enhancement and noise/interference in mobile communication environments. This book provides a coherent and structured presentation of the theory and applications of statistical signal processing and noise reduction methods. Two new chapters on MIMO systems, correlation and Eigen analysis and independent component analysis Comprehensive coverage of advanced digital signal processing and noise reduction methods for communication and information processing systems Examples and applications in signal and information extraction from noisy data Comprehensive but accessible coverage of signal processing theory including probability models, Bayesian inference, hidden Markov models, adaptive filters and Linear prediction models Advanced Digital Signal Processing and Noise Reduction is an invaluable text for postgraduates, senior undergraduates and researchers in the fields of digital signal processing, telecommunications and statistical data analysis. It will also be of interest to professional engineers in telecommunications and audio and signal processing industries and network planners and implementers in mobile and wireless communication communities. |
| acoustic signal processing for telecommunication: Human and Automatic Speaker Recognition over Telecommunication Channels Laura Fernández Gallardo, 2015-08-17 This work addresses the evaluation of the human and the automatic speaker recognition performances under different channel distortions caused by bandwidth limitation, codecs, and electro-acoustic user interfaces, among other impairments. Its main contribution is the demonstration of the benefits of communication channels of extended bandwidth, together with an insight into how speaker-specific characteristics of speech are preserved through different transmissions. It provides sufficient motivation for considering speaker recognition as a criterion for the migration from narrowband to enhanced bandwidths, such as wideband and super-wideband. |
| acoustic signal processing for telecommunication: Official Gazette of the United States Patent and Trademark Office , 2002 |
| acoustic signal processing for telecommunication: Audio Source Separation and Speech Enhancement Emmanuel Vincent, Tuomas Virtanen, Sharon Gannot, 2018-10-22 Learn the technology behind hearing aids, Siri, and Echo Audio source separation and speech enhancement aim to extract one or more source signals of interest from an audio recording involving several sound sources. These technologies are among the most studied in audio signal processing today and bear a critical role in the success of hearing aids, hands-free phones, voice command and other noise-robust audio analysis systems, and music post-production software. Research on this topic has followed three convergent paths, starting with sensor array processing, computational auditory scene analysis, and machine learning based approaches such as independent component analysis, respectively. This book is the first one to provide a comprehensive overview by presenting the common foundations and the differences between these techniques in a unified setting. Key features: Consolidated perspective on audio source separation and speech enhancement. Both historical perspective and latest advances in the field, e.g. deep neural networks. Diverse disciplines: array processing, machine learning, and statistical signal processing. Covers the most important techniques for both single-channel and multichannel processing. This book provides both introductory and advanced material suitable for people with basic knowledge of signal processing and machine learning. Thanks to its comprehensiveness, it will help students select a promising research track, researchers leverage the acquired cross-domain knowledge to design improved techniques, and engineers and developers choose the right technology for their target application scenario. It will also be useful for practitioners from other fields (e.g., acoustics, multimedia, phonetics, and musicology) willing to exploit audio source separation or speech enhancement as pre-processing tools for their own needs. |
| acoustic signal processing for telecommunication: An Intellectual Biography of Africa Francis Kwarteng, 2022-07-13 Africa is the birthplace of humanity and civilization. And yet people generally don’t want to accept the scientific impression of Africa as the birthplace of human civilization. The skeptics include Africans themselves, a direct result of the colonial educational systems still in place across Africa, and even those Africans who acquire Western education, particularly in the humanities, have been trapped in the symptomatology of epistemic peonage. These colonial educational systems have overstayed their welcome and should be dismantled. This is where African agency comes in. Agential autonomy deserves an authoritative voice in shaping the curricular direction of Africa. Agential autonomy implicitly sanctions an Afrocentric approach to curriculum development, pedagogy, historiography, literary theory, indigenous language development, and knowledge construction. Science, technology, engineering, mathematics?information and communications technology (STEM-ICT) and research and development (R&D) both exercise foundational leverage in the scientific and cultural discourse of the kind of African Renaissance Cheikh Anta Diop envisaged. “Mr. Francis Kwarteng has written a book that looks at some of the major distortions of African history and Africa’s major contributions to human civilization. In this context, Mr. Kwarteng joins a long list of thinkers who roundly reject the foundational Eurocentric epistemology of Africa in favor of an Afrocentric paradigm of Africa’s material, spiritual, scientific, and epistemic assertion. Mr. Kwarteng places S.T.E.M. and a revision of the humanities at the center of the African Renaissance and critiques Eurocentric fantasies about Africa and its Diaspora following the critical examples of Cheikh Anta Diop, Ama Mazama, Molefi Kete Asante, Abdul Karim Bangura, Theophile Obenga, Maulana Karenga, Mubabingo Bilolo, Kwame Nkrumah, Ivan Van Sertima, W.E.B. Du Bois, and several others. Readers of this book will be challenged to look at Africa through a critical lens.” Ama Mazama, editor/author of Africa in the 21st Century: Toward a New Future “There are countless books about the evolution of European intellectual thought but scarcely any that captures the pioneering contributions of Africans since the beginning of recorded knowledge in Kmet, a.k.a. Ancient Egypt. Well, that long drought has ended with the publication of Kwarteng's An Intellectual Biography of Africa: A Philosophical Anatomy of Advancing Africa the Diopian Way. Prepare to be educated.” Milton Allimadi, author of Manufacturing Hate: How Africa Was Demonized in the Media |
| acoustic signal processing for telecommunication: Communication Acoustics Jens Blauert, 2005-05-20 - Speech Generation: Acoustics, Models and Applications (Arild Lacroix). - The Evolution of Digital Audio Technology (John Mourjopoulos). - Audio-Visual Interaction (Armin Kohlrausch) . - Speech and Audio Coding (Ulrich Heute) . - Binaural Technique (Dorte Hammerhoei, Henrik Moeller). - Auditory Virtual Environment (Pedro Novo). - Evolutionary Adaptions for Auditory Communication (Georg Klump). - A Functional View on the Human Hearing Organ (Herbert Hudde). - Modeling of Binaural Hearing (Jonas Braasch). - Psychoacoustics and Sound Quality (Hugo Fastl). - Semiotics for Engineers (Ute Jekosch). - Quality of Transmitted Speech for Humans and Machines (Sebastian Möller). |
| acoustic signal processing for telecommunication: Human-Centered Design of E-Health Technologies: Concepts, Methods and Applications Ziefle, Martina, Rcker, Carsten, 2010-12-31 This book unites researchers and industry practitioners from different disciplines to share their domain-specific knowledge and contribute to a holistic introduction into the area of human-centered design for e-health applications--Provided by publisher. |
| acoustic signal processing for telecommunication: Surface Acoustic Wave Devices in Telecommunications Ken-Ya Hashimoto, 2000-06-21 Surface acoustic wave (SAW) devices are widely used in mobile communications, a rapidly evolving market. This book gives an overview on the latest SAW technologies with an emphasis on the design and simulation of devices, such as resonator-based devices employing the SH-type leaky SAW. |
| acoustic signal processing for telecommunication: EURASIP Directory 1983 Jan J. Gerbrands, 2012-12-06 A great number of scientists in European research institutions is involved in one or more aspects of the multidisciplinary field of signal processing. This book contains concise descriptions of the activities and interests of 379 signal proces sing laboratories from 17 European countries. Its purpose is twofold: to facilitate communications between institutions and individual scientists within the signal pro cessing community - and to give an expose of the combined European signal processing research effort. This publication is the result of a survey which was made in the fall of 1983 by the European Association for Signal Processing EURASIP. EURASIP is a non-profit professional organization which aims at the improvement of communications between groups and individuals working in the field of signal pro cessing in Europe or elsewhere, and to exchange and disseminate information in the field allover the world. EURASIP arranges workshops and conferences, e.g., the European Signal Processing Conferences EUSIPCO, and publishes the journals SIGNAL PROCESSING and SPEECH COMMUNICATION. |
| acoustic signal processing for telecommunication: Digital Speech Transmission Peter Vary, Rainer Martin, 2006-08-04 The enormous advances in digital signal processing (DSP) technology have contributed to the wide dissemination and success of speech communication devices – be it GSM and UMTS mobile telephones, digital hearing aids, or human-machine interfaces. Digital speech transmission techniques play an important role in these applications, all the more because high quality speech transmission remains essential in all current and next generation communication networks. Enhancement, coding and error concealment techniques improve the transmitted speech signal at all stages of the transmission chain, from the acoustic front-end to the sound reproduction at the receiver. Advanced speech processing algorithms help to mitigate a number of physical and technological limitations such as background noise, bandwidth restrictions, shortage of radio frequencies, and transmission errors. Digital Speech Transmission provides a single-source, comprehensive guide to the fundamental issues, algorithms, standards, and trends in speech signal processing and speech communication technology. The authors give a solid, accessible overview of fundamentals of speech signal processing speech coding, including new speech coders for GSM and UMTS error concealment by soft decoding artificial bandwidth extension of speech signals single and multi-channel noise reduction acoustic echo cancellation This text is an invaluable resource for engineers, researchers, academics, and graduate students in the areas of communications, electrical engineering, and information technology. |
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