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| orfanidis dsp: Introduction to Signal Processing Sophocles J. Orfanidis, 1996 This book differs from the classical DSP book model pioneered by O/S. Includes chapters on DFT, Z-Transform and Filter Design. The book starts out with what one reviewer calls fun topics, and DSP applications. |
| orfanidis dsp: A Course in Digital Signal Processing Boaz Porat, 1996-11 |
| orfanidis dsp: Real-time Digital Signal Processing Sen-Maw Kuo, 2003 |
| orfanidis dsp: DAFX Udo Zölzer, 2011-03-16 The rapid development in various fields of Digital Audio Effects, or DAFX, has led to new algorithms and this second edition of the popular book, DAFX: Digital Audio Effects has been updated throughout to reflect progress in the field. It maintains a unique approach to DAFX with a lecture-style introduction into the basics of effect processing. Each effect description begins with the presentation of the physical and acoustical phenomena, an explanation of the signal processing techniques to achieve the effect, followed by a discussion of musical applications and the control of effect parameters. Topics covered include: filters and delays, modulators and demodulators, nonlinear processing, spatial effects, time-segment processing, time-frequency processing, source-filter processing, spectral processing, time and frequency warping musical signals. Updates to the second edition include: Three completely new chapters devoted to the major research areas of: Virtual Analog Effects, Automatic Mixing and Sound Source Separation, authored by leading researchers in the field . Improved presentation of the basic concepts and explanation of the related technology. Extended coverage of the MATLABTM scripts which demonstrate the implementation of the basic concepts into software programs. Companion website (www.dafx.de) which serves as the download source for MATLABTM scripts, will be updated to reflect the new material in the book. Discussing DAFX from both an introductory and advanced level, the book systematically introduces the reader to digital signal processing concepts, how they can be applied to sound and their use in musical effects. This makes the book suitable for a range of professionals including those working in audio engineering, as well as researchers and engineers involved in the area of digital signal processing along with students on multimedia related courses. |
| orfanidis dsp: Window Functions and Their Applications in Signal Processing K. M. M. Prabhu, 2018-09-03 Window functions—otherwise known as weighting functions, tapering functions, or apodization functions—are mathematical functions that are zero-valued outside the chosen interval. They are well established as a vital part of digital signal processing. Window Functions and their Applications in Signal Processing presents an exhaustive and detailed account of window functions and their applications in signal processing, focusing on the areas of digital spectral analysis, design of FIR filters, pulse compression radar, and speech signal processing. Comprehensively reviewing previous research and recent developments, this book: Provides suggestions on how to choose a window function for particular applications Discusses Fourier analysis techniques and pitfalls in the computation of the DFT Introduces window functions in the continuous-time and discrete-time domains Considers two implementation strategies of window functions in the time- and frequency domain Explores well-known applications of window functions in the fields of radar, sonar, biomedical signal analysis, audio processing, and synthetic aperture radar |
| orfanidis dsp: DAFX - Digital Audio Effects Udo Zölzer, Xavier Amatriain, Daniel Arfib, Jordi Bonada, Giovanni De Poli, Pierre Dutilleux, Gianpaolo Evangelista, Florian Keiler, Alex Loscos, Davide Rocchesso, Mark Sandler, Xavier Serra, Todor Todoroff, 2002-04-17 * Digital Audio Effects (DAFX) covers the use of digital signal processing and its applications to sounds * Discusses digital audio effects from both an introductory level, for musicians, and an advanced level, for signal processing engineers * Explains what can be done in the digital processing of sounds in the form of computer algorithms and sound examples resulting from these transformations * Brings together essential DSP algorithms for sound processing, providing an excellent introduction to the topic |
| orfanidis dsp: Advanced Signal Processing and Digital Noise Reduction Saeed V. Vaseghi, 2013-03-09 |
| orfanidis dsp: Digital Audio Signal Processing Udo Zölzer, 2022-02-24 Digital Audio Signal Processing The fully revised new edition of the popular textbook, featuring additional MATLAB exercises and new algorithms for processing digital audio signals Digital Audio Signal Processing (DASP) techniques are used in a variety of applications, ranging from audio streaming and computer-generated music to real-time signal processing and virtual sound processing. Digital Audio Signal Processing provides clear and accessible coverage of the fundamental principles and practical applications of digital audio processing and coding. Throughout the book, the authors explain a wide range of basic audio processing techniques and highlight new directions for automatic tuning of different algorithms and discuss state- of-the-art DASP approaches. Now in its third edition, this popular guide is fully updated with the latest signal processing algorithms for audio processing. Entirely new chapters cover nonlinear processing, Machine Learning (ML) for audio applications, distortion, soft/hard clipping, overdrive, equalizers and delay effects, sampling and reconstruction, and more. Covers the fundamentals of quantization, filters, dynamic range control, room simulation, sampling rate conversion, and audio coding Describes DASP techniques, their theoretical foundations, and their practical applications Discusses modern studio technology, digital transmission systems, storage media, and home entertainment audio components Features a new introductory chapter and extensively revised content throughout Provides updated application examples and computer-based activities supported with MATLAB exercises and interactive JavaScript applets via an author-hosted companion website Balancing essential concepts and technological topics, Digital Audio Signal Processing, Third Edition remains the ideal textbook for advanced music technology and engineering students in audio signal processing courses. It is also an invaluable reference for audio engineers, hardware and software developers, and researchers in both academia and industry. |
| orfanidis dsp: Digital Signal Processing Emmanuel C. Ifeachor, Barrie W. Jervis, 1999 |
| orfanidis dsp: Applied Digital Signal Processing Dimitris G. Manolakis, Vinay K. Ingle, 2011-11-21 Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoretical importance or useful in real-world applications ensures that students cover material relevant to engineering practice, and equips students and practitioners alike with the basic principles necessary to apply DSP techniques to a variety of applications. Chapters include worked examples, problems and computer experiments, helping students to absorb the material they have just read. Lecture slides for all figures and solutions to the numerous problems are available to instructors. |
| orfanidis dsp: Mathematics of the Discrete Fourier Transform (DFT) Julius O. Smith, 2008 The DFT can be understood as a numerical approximation to the Fourier transform. However, the DFT has its own exact Fourier theory, and that is the focus of this book. The DFT is normally encountered as the Fast Fourier Transform (FFT)--a high-speed algorithm for computing the DFT. The FFT is used extensively in a wide range of digital signal processing applications, including spectrum analysis, high-speed convolution (linear filtering), filter banks, signal detection and estimation, system identification, audio compression (such as MPEG-II AAC), spectral modeling sound synthesis, and many others. In this book, certain topics in digital audio signal processing are introduced as example applications of the DFT--Back cover |
| orfanidis dsp: Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK Rulph Chassaing, Donald S. Reay, 2011-09-20 Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK Now in a new edition—the most comprehensive, hands-on introduction to digital signal processing The first edition of Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK is widely accepted as the most extensive text available on the hands-on teaching of Digital Signal Processing (DSP). Now, it has been fully updated in this valuable Second Edition to be compatible with the latest version (3.1) of Texas Instruments Code Composer Studio (CCS) development environment. Maintaining the original’s comprehensive, hands-on approach that has made it an instructor’s favorite, this new edition also features: Added program examples that illustrate DSP concepts in real-time and in the laboratory Expanded coverage of analog input and output New material on frame-based processing A revised chapter on IIR, which includes a number of floating-point example programs that explore IIR filters more comprehensively More extensive coverage of DSP/BIOS All programs listed in the text—plus additional applications—which are available on a companion website No other book provides such an extensive or comprehensive set of program examples to aid instructors in teaching DSP in a laboratory using audio frequency signals—making this an ideal text for DSP courses at the senior undergraduate and postgraduate levels. It also serves as a valuable resource for researchers, DSP developers, business managers, and technology solution providers who are looking for an overview and examples of DSP algorithms implemented using the TMS320C6713 and TMS320C6416 DSK. |
| orfanidis dsp: Digital Signal Processing Using MATLAB for Students and Researchers John W. Leis, 2011-10-14 Quickly Engages in Applying Algorithmic Techniques to Solve Practical Signal Processing Problems With its active, hands-on learning approach, this text enables readers to master the underlying principles of digital signal processing and its many applications in industries such as digital television, mobile and broadband communications, and medical/scientific devices. Carefully developed MATLAB® examples throughout the text illustrate the mathematical concepts and use of digital signal processing algorithms. Readers will develop a deeper understanding of how to apply the algorithms by manipulating the codes in the examples to see their effect. Moreover, plenty of exercises help to put knowledge into practice solving real-world signal processing challenges. Following an introductory chapter, the text explores: Sampled signals and digital processing Random signals Representing signals and systems Temporal and spatial signal processing Frequency analysis of signals Discrete-time filters and recursive filters Each chapter begins with chapter objectives and an introduction. A summary at the end of each chapter ensures that one has mastered all the key concepts and techniques before progressing in the text. Lastly, appendices listing selected web resources, research papers, and related textbooks enable the investigation of individual topics in greater depth. Upon completion of this text, readers will understand how to apply key algorithmic techniques to address practical signal processing problems as well as develop their own signal processing algorithms. Moreover, the text provides a solid foundation for evaluating and applying new digital processing signal techniques as they are developed. |
| orfanidis dsp: Real-Time Digital Signal Processing Sen M. Kuo, Bob H. Lee, Wenshun Tian, 2006-05-01 Real-time Digital Signal Processing: Implementations and Applications has been completely updated and revised for the 2nd edition and remains the only book on DSP to provide an overview of DSP theory and programming with hands-on experiments using MATLAB, C and the newest fixed-point processors from Texas Instruments (TI). |
| orfanidis dsp: Digital Signal Processing Techniques and Applications in Radar Image Processing Bu-Chin Wang, 2008-08-29 A self-contained approach to DSP techniques and applications in radar imaging The processing of radar images, in general, consists of three major fields: Digital Signal Processing (DSP); antenna and radar operation; and algorithms used to process the radar images. This book brings together material from these different areas to allow readers to gain a thorough understanding of how radar images are processed. The book is divided into three main parts and covers: * DSP principles and signal characteristics in both analog and digital domains, advanced signal sampling, and interpolation techniques * Antenna theory (Maxwell equation, radiation field from dipole, and linear phased array), radar fundamentals, radar modulation, and target-detection techniques (continuous wave, pulsed Linear Frequency Modulation, and stepped Frequency Modulation) * Properties of radar images, algorithms used for radar image processing, simulation examples, and results of satellite image files processed by Range-Doppler and Stolt interpolation algorithms The book fully utilizes the computing and graphical capability of MATLAB? to display the signals at various processing stages in 3D and/or cross-sectional views. Additionally, the text is complemented with flowcharts and system block diagrams to aid in readers' comprehension. Digital Signal Processing Techniques and Applications in Radar Image Processing serves as an ideal textbook for graduate students and practicing engineers who wish to gain firsthand experience in applying DSP principles and technologies to radar imaging. |
| orfanidis dsp: Introduction to Sound Processing Davide Rocchesso, 2003 |
| orfanidis dsp: Digital Signal Processing with Examples in MATLAB®, Second Edition Samuel D. Stearns, Donald R. Hush, 2002-08-28 In a field as rapidly expanding as digital signal processing, even the topics relevant to the basics change over time both in their nature and their relative importance. It is important, therefore, to have an up-to-date text that not only covers the fundamentals, but that also follows a logical development that leaves no gaps readers must somehow bridge by themselves. Digital Signal Processing with Examples in MATLAB® is just such a text. The presentation does not focus on DSP in isolation, but relates it to continuous signal processing and treats digital signals as samples of physical phenomena. The author also takes care to introduce important topics not usually addressed in signal processing texts, including the discrete cosine and wavelet transforms, multirate signal processing, signal coding and compression, least squares systems design, and adaptive signal processing. He also uses the industry-standard software MATLAB to provide examples of signal processing, system design, spectral analysis, filtering, coding and compression, and exercise solutions. All of the examples and functions used in the text are available online at www.crcpress.com. Designed for a one-semester upper-level course but also ideal for self-study and reference, Digital Signal Processing with Examples in MATLAB is complete, self-contained, and rigorous. For basic DSP, it is quite simply the only book you need. |
| orfanidis dsp: C++ Algorithms for Digital Signal Processing Paul Embree, Damon Danieli, 1998-11-13 Bring the power and flexibility of C++ to all your DSP applications The multimedia revolution has created hundreds of new uses for Digital Signal Processing, but most software guides have continued to focus on outdated languages such as FORTRAN and Pascal for managing new applications. Now C++ Algorithms for Digital Signal Processing applies object-oriented techniques to this growing field with software you can implement on your desktop PC. C++ Algorithms for Digital Signal Processing's programming methods can be used for applications as diverse as: Digital audio and video Speech and image processing Digital communications Radar, sonar, and ultrasound signal processing Complete coverage is provided, including: Overviews of DSP and C++ Hands-on study with dozens of exercises Extensive library of customizable source code Import and Export of Microsoft WAV and Matlab data files Multimedia professionals, managers, and even advanced hobbyists will appreciate C++ Algorithms for Digital Signal Processing as much as students, engineers, and programmers. It's the ideal bridge between programming and signal processing, and a valuable reference for experts in either field. Source code for all of the DSP programs and DSP data associated with the examples discussed in this book and Appendix B and the file README.TXT which provide more information about how to compile and run the programs can be downloaded from www.informit.com/title/9780131791442 |
| orfanidis dsp: Digital Signal Processing in Power Electronics Control Circuits Krzysztof Sozański, 2013-07-03 Many digital control circuits in current literature are described using analog transmittance. This may not always be acceptable, especially if the sampling frequency and power transistor switching frequencies are close to the band of interest. Therefore, a digital circuit is considered as a digital controller rather than an analog circuit. This helps to avoid errors and instability in high frequency components. Digital Signal Processing in Power Electronics Control Circuits covers problems concerning the design and realization of digital control algorithms for power electronics circuits using digital signal processing (DSP) methods. This book bridges the gap between power electronics and DSP. The following realizations of digital control circuits are considered: digital signal processors, microprocessors, microcontrollers, programmable digital circuits. Discussed in this book is signal processing, starting from analog signal acquisition, through its conversion to digital form, methods of its filtration and separation, and ending with pulse control of output power transistors. The book is focused on two applications for the considered methods of digital signal processing: an active power filter and a digital class D power amplifier. The major benefit to readers is the acquisition of specific knowledge concerning discussions on the processing of signals from voltage or current sensors using a digital signal processor and to the signals controlling the output inverter transistors. Included are some Matlab examples for illustration of the considered problems. |
| orfanidis dsp: Digital Signal Processing and Spectral Analysis for Scientists Silvia Maria Alessio, 2015-12-09 This book covers the basics of processing and spectral analysis of monovariate discrete-time signals. The approach is practical, the aim being to acquaint the reader with the indications for and drawbacks of the various methods and to highlight possible misuses. The book is rich in original ideas, visualized in new and illuminating ways, and is structured so that parts can be skipped without loss of continuity. Many examples are included, based on synthetic data and real measurements from the fields of physics, biology, medicine, macroeconomics etc., and a complete set of MATLAB exercises requiring no previous experience of programming is provided. Prior advanced mathematical skills are not needed in order to understand the contents: a good command of basic mathematical analysis is sufficient. Where more advanced mathematical tools are necessary, they are included in an Appendix and presented in an easy-to-follow way. With this book, digital signal processing leaves the domain of engineering to address the needs of scientists and scholars in traditionally less quantitative disciplines, now facing increasing amounts of data. |
| orfanidis dsp: DSP Applications Using C and the TMS320C6x DSK Rulph Chassaing, 2003-04-08 TMS320C6x ist die DSP-Familie der nächsten Generation von Texas Instruments, die bei 1600MIPS/200MHz arbeitet und zehnmal leistungsfähiger als die besten derzeit verfügbaren DSPs ist. Hauptanwendung ist die drahtlose Kommunikation: Mehr als 60 Prozent der Mobiltelefone enthalten bereits DSP-basierte TMS320-Verarbeitungsschaltkreise. Führende Hersteller wie Ericsson, Nokia, Sony und Handspring verlassen sich für ihre Geräte der dritten Generation auf diese Technologie. - Dieses Buch führt Sie in die digitalen Techniken der Wellenformerzeugung, der Digitalfilter und der digitalen Signalverarbeitungstools und ein. Das Konzept wurde anhand von Kursen und Seminaren erarbeitet, die von TI gesponsort wurden. Alle Beispielprogramme können Sie vom FTP-Server von Wiley abrufen. |
| orfanidis dsp: Digital Filter Design T. W. Parks, C. S. Burrus, 1987 Introduction to digital filters. Finite impulse-response filters. Design of linear-phase finite impulse-response. Minimum-phas and complex approximation. Implementation of finite impulse-response filters. Properties of infinite impulse-response filters. Design of infinite impulse-response filters. Implementation of infinite impulse-response filters. Programs. |
| orfanidis dsp: Linear Dynamic Systems and Signals Zoran Gajic, 2003 The author's twelve years of experience with linear systems and signals are reflected in this comprehensive book. The book contains detailed linear systems theory essentials. The intent of this book is to develop the unified techniques to recognize and solve linear dynamical system problems regardless of their origin. Includes Space state techniques as the time domain approach for studying linear systems. Provides a solid foundation on linear dynamic systems and corresponding systems using the dynamic system point of view. Parallels continuous- and discrete-time linear systems throughout to help users grasp the similarities and differences of each. Three part organization: Part I covers frequency-domain approach to linear dynamic systems, Part II covers the time-domain approach to linear dynamic systems, and Part III discusses the linear system approach to electrical engineering, to allow the user to focus of the subject matter as it pertains to their needs. For anyone interested in linear systems and signals |
| orfanidis dsp: Real-Time Digital Signal Processing from MATLAB® to C with the TMS320C6x DSPs, Second Edition Thad B. Welch, Cameron H.G. Wright, Michael G. Morrow, 2011-12-22 From the Foreword: ...There are many good textbooks today to teach digital signal processing, but most of them are content to teach the theory, and perhaps some MATLAB® simulations. This book has taken a bold step forward. It not only presents the theory, it reinforces it with simulations, and then it shows us how to actually use the results in real-time applications. This last step is not a trivial step, and that is why so many books, and courses, present only theory and simulations. With the combined expertise of the three authors of this text...the reader can step into the real-time world of applications with a text that presents an accessible path... —Delores M. Etter, Texas Instruments Distinguished Chair in Electrical Engineering and Executive Director, Caruth Institute for Engineering Education, Southern Methodist University, Dallas, Texas, USA Mastering practical application of real-time digital signal processing (DSP) remains one of the most challenging and time-consuming pursuits in the field. It is even more difficult without a resource to bridge the gap between theory and practice. Filling that void, Real-Time Digital Signal Processing from MATLAB® to C with the TMS320C6x DSPs, Second Edition is organized in three sections that cover enduring fundamentals and present practical projects and invaluable appendices. This updated edition gives readers hands-on experience in real-time DSP using a practical, step-by-step framework that also incorporates demonstrations, exercises, and problems, coupled with brief overviews of applicable theory and MATLAB® application. Engineers, educators, and students rely on this book for precise, simplified instruction on use of real-time DSP applications. The book’s software supports the latest high-performance hardware, including the powerful, inexpensive, and versatile OMAP-L138 Experimenter Kit and other development boards. Incorporating readers’ valuable feedback and suggestions, this installment covers additional topics (such as PN sequences) and more advanced real-time DSP projects (including higher-order digital communications projects), making it even more valuable as a learning tool. |
| orfanidis dsp: Discrete Signals and Inverse Problems J. Carlos Santamarina, Dante Fratta, 2005-12-13 Discrete Signals and Inverse Problems examines fundamental concepts necessary to engineers and scientists working with discrete signal processing and inverse problem solving, and places emphasis on the clear understanding of algorithms within the context of application needs. Based on the original ‘Introduction to Discrete Signals and Inverse Problems in Civil Engineering’, this expanded and enriched version: combines discrete signal processing and inverse problem solving in one book covers the most versatile tools that are needed to process engineering and scientific data presents step-by-step ‘implementation procedures’ for the most relevant algorithms provides instructive figures, solved examples and insightful exercises Discrete Signals and Inverse Problems is essential reading for experimental researchers and practicing engineers in civil, mechanical and electrical engineering, non-destructive testing and instrumentation. This book is also an excellent reference for advanced undergraduate students and graduate students in engineering and science. |
| orfanidis dsp: Fundamentals of Radar Signal Processing Mark A. Richards, 2005-06-24 This rigorous text provides in-depth coverage of radar signal processing from a DSP perspective, filling a gap in the literature. There are a number of good books on general radar systems: Skolnik and Nathanson are the most popular. There are also good monographs on advanced and specialty topics like synthetic aperture imaging. But there is a large, practical gap between the qualitative system books and the advanced DSP titles, and that is the slot this book fills. |
| orfanidis dsp: Digital Signal Processing Rulph Chassaing, 1998-11-16 A practical guide to using the TMS320C31 DSP Starter Kit With applications and demand for high-performing digital signalprocessors expanding rapidly, it is becoming increasingly importantfor today's students and practicing engineers to master real-timedigital signal processing (DSP) techniques. Digital Signal Processing: Laboratory Experiments Using C and theTMS320C31 DSK offers users a practical--and economicalm--approachto understanding DSP principles, designs, and applications.Demonstrating Texas Instruments' (TI) state-of-the-art, low-pricedDSP Starter Kit (DSK), this book clearly illustrates and integratespractical aspects of real-time DSP implementation techniques andcomplex DSP concepts into lab exercises and experiments. TI'sTMS320C31 digital signal processor provides substantial performancebenefits for designs that have floating-point capabilitiessupported by high-level language compilers. Most chapters begin with a theoretical discussion followed byrepresentative examples. With numerous programming examples usingTMS320C3x and C code included on disk, this easy-to-read text: * Covers DSK tools, the architecture, and instructions for theTMS320C31 processor * Illustrates input and output * Introduces the z-transform * Discusses finite impulse response (FIR) filters, including theeffect of window functions * Covers infinite impulse response (IIR) filters * Discusses the development and implementation of the fast Fouriertransform (FFT) * Examines utility of adaptive filters for differentapplications Bridging the gap between theory and application, this bookfurnishes a solid foundation for DSP lab or project design coursesfor students and serves as a welcome, practically oriented tutorialin the latest DSP techniques for working professionals. |
| orfanidis dsp: Digital Audio Processing Fundamentals Aurelio Uncini, 2023-02-02 The book provides an accessible overview of audio signal processing, and enables readers to design and write algorithms for the analysis, synthesis, and manipulation of musical and acoustic signals for any programming language. It provides an overview of highly interdisciplinary topics developed in a simple but rigorous way, and described in a unified and formal language which focuses on determining discrete-time audio signal models. Readers can find within a self-contained volume basic topics ranging over different disciplines: mechanical acoustics, physical systems and linear and nonlinear models, with lumped and distributed parameters; described and developed with the same level of mathematical formalism, easy to understand and oriented to the development of algorithms. Topics include the fundamental concepts of acoustic mechanics and vibration; the design of filters and equalizers for sound signals, the so-called audio effects, abstract methods of sound synthesis, and finally, methods of synthesis by physical modeling. |
| orfanidis dsp: Designing Audio Effect Plug-ins in C++ with Digital Audio Signal Processing Theory William C. Pirkle, 2013 Includes bibliographical references and index. |
| orfanidis dsp: Embedded Computing Joseph A. Fisher, Paolo Faraboschi, Cliff Young, 2005-01-19 The fact that there are more embedded computers than general-purpose computers and that we are impacted by hundreds of them every day is no longer news. What is news is that their increasing performance requirements, complexity and capabilities demand a new approach to their design. Fisher, Faraboschi, and Young describe a new age of embedded computing design, in which the processor is central, making the approach radically distinct from contemporary practices of embedded systems design. They demonstrate why it is essential to take a computing-centric and system-design approach to the traditional elements of nonprogrammable components, peripherals, interconnects and buses. These elements must be unified in a system design with high-performance processor architectures, microarchitectures and compilers, and with the compilation tools, debuggers and simulators needed for application development. In this landmark text, the authors apply their expertise in highly interdisciplinary hardware/software development and VLIW processors to illustrate this change in embedded computing. VLIW architectures have long been a popular choice in embedded systems design, and while VLIW is a running theme throughout the book, embedded computing is the core topic. Embedded Computing examines both in a book filled with fact and opinion based on the authors many years of R&D experience.· Complemented by a unique, professional-quality embedded tool-chain on the authors' website, http://www.vliw.org/book· Combines technical depth with real-world experience · Comprehensively explains the differences between general purpose computing systems and embedded systems at the hardware, software, tools and operating system levels. · Uses concrete examples to explain and motivate the trade-offs. |
| orfanidis dsp: Streamlining Digital Signal Processing Richard G. Lyons, 2007-08-13 This book is more than just a compilation of the original articles. All of the material in the book has gone through careful editorial review and has also benefited from the feedback of the readers of the magazine; the result is a consistent across all of the articles. Additionally, the authors have used this opportunity to include the additional explanations, applications, and illustrations that could not be included in the original articles due to space limitations. |
| orfanidis dsp: Fundamentals Of Digital Signal Processing Lonnie C. Ludeman, 2009-07-01 |
| orfanidis dsp: Digital Signal Processing with Examples in MATLAB Samuel D. Stearns, Donald R. Hush, 2016-04-19 Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today's powerful computing capabilities, they can be used in a wide range of application areas, including engineering, communicati |
| orfanidis dsp: Starting Digital Signal Processing in Telecommunication Engineering Tomasz P. Zieliński, 2021-01-29 This hands-on, laboratory driven textbook helps readers understand principles of digital signal processing (DSP) and basics of software-based digital communication, particularly software-defined networks (SDN) and software-defined radio (SDR). In the book only the most important concepts are presented. Each book chapter is an introduction to computer laboratory and is accompanied by complete laboratory exercises and ready-to-go Matlab programs with figures and comments (available at the book webpage and running also in GNU Octave 5.2 with free software packages), showing all or most details of relevant algorithms. Students are tasked to understand programs, modify them, and apply presented concepts to recorded real RF signal or simulated received signals, with modelled transmission condition and hardware imperfections. Teaching is done by showing examples and their modifications to different real-world telecommunication-like applications. The book consists of three parts: introduction to DSP (spectral analysis and digital filtering), introduction to DSP advanced topics (multi-rate, adaptive, model-based and multimedia - speech, audio, video - signal analysis and processing) and introduction to software-defined modern telecommunication systems (SDR technology, analog and digital modulations, single- and multi-carrier systems, channel estimation and correction as well as synchronization issues). Many real signals are processed in the book, in the first part – mainly speech and audio, while in the second part – mainly RF recordings taken from RTL-SDR USB stick and ADALM-PLUTO module, for example captured IQ data of VOR avionics signal, classical FM radio with RDS, digital DAB/DAB+ radio and 4G-LTE digital telephony. Additionally, modelling and simulation of some transmission scenarios are tested in software in the book, in particular TETRA, ADSL and 5G signals. Provides an introduction to digital signal processing and software-based digital communication; Presents a transition from digital signal processing to software-defined telecommunication; Features a suite of pedagogical materials including a laboratory test-bed and computer exercises/experiments. |
| orfanidis dsp: DSP Primer C. Britton Rorabaugh, 1999 Digital Signal Processing (DSP) has applications in many areas of electrical engineering from telecommunications to computer hardware. This text and CD-ROM provide nearly 200 mathematical methods, processing algorithms and design procedures in a step-by-step format. |
| orfanidis dsp: Digital Signal Processing and Applications with the C6713 and C6416 DSK Rulph Chassaing, 2004-12-13 This book is a tutorial on digital techniques for waveform generation, digital filters, and digital signal processing tools and techniques The typical chapter begins with some theoretical material followed by working examples and experiments using the TMS320C6713-based DSPStarter Kit (DSK) The C6713 DSK is TI's newest signal processor based on the C6x processor (replacing the C6711 DSK) |
| orfanidis dsp: Hybrid Artificial Intelligent Systems Emilio Corchado, 2011-05-16 The two LNAI volumes 6678 and 6679 constitute the proceedings of the 6th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2011, held in Wroclaw, Poland, in May 2011. The 114 papers published in these proceedings were carefully reviewed and selected from 241 submissions. They are organized in topical sessions on hybrid intelligence systems on logistics and intelligent optimization; metaheuristics for combinatorial optimization and modelling complex systems; hybrid systems for context-based information fusion; methods of classifier fusion; intelligent systems for data mining and applications; systems, man, and cybernetics; hybrid artificial intelligence systems in management of production systems; habrid artificial intelligent systems for medical applications; and hybrid intelligent approaches in cooperative multi-robot systems. |
| orfanidis dsp: Mastering DSP Concepts Using MATLAB Ashok Ambardar, Craig Borghesani, 1998 This software-oriented manual is intended to supplement junior-and senior-level texts on digital signal processing(DSP) and to serve as a visualization aid for concepts that are central to understanding DSP principles. |
| orfanidis dsp: Communication System Design Using DSP Algorithms Steven A. Tretter, 2008-01-04 Designed for senior electrical engineering students, this textbook explores the theoretical concepts of digital signal processing and communication systems by presenting laboratory experiments using real-time DSP hardware. This new edition updates the experiments based on the TMS320C6713 (but can easily be adapted to other DSP boards). Each chapter begins with a presentation of the required theory and concludes with instructions for performing experiments to implement the theory. In the process of performing the experiments, students gain experience in working with software tools and equipment commonly used in industry. |
| orfanidis dsp: Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSK Thad B. Welch, Cameron H.G. Wright, Michael G. Morrow, 2005-12-21 From personal music players to anti-lock brakes and advanced digital flight controllers, the demand for real-time digital signal processing (DSP) continues to grow. Mastering real-time DSP is one of the most challenging and time-consuming pursuits in the field, exacerbated by the lack of a resource that solidly bridges the gap between theory and practice. Recognizing that there is a better way forward, accomplished experts Welch, Wright, and Morrow offer Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSK. This book collects all of the necessary tools in a single, field-tested source of unrivaled authority. The authors seamlessly integrate theory with easy-to-use, inexpensive hardware and software tools in an approachable and hands-on manner. Using abundant examples and exercises in a step-by-step approach, they work from familiar interfaces such as MATLAB® to running algorithms in real-time on industry-standard DSP hardware. For each concept, the book uses a four-step methodology: a brief review of relevant theory; demonstration of the concept in winDSK6, an easy-to-use software tool; explanation and demonstration of MATLAB techniques for implementation; and explanation of the necessary C code to implement the algorithms in real time. Covering a broad spectrum of topics in a hands-on, concise, and approachable way, Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSK paves the way toward mastery of real-time DSP. Essential source code is available for download. |
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Alcohol - World Health Organization (WHO)
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Alcohol Use and Your Health | Alcohol Use | CDC
Jan 14, 2025 · Using alcohol excessively on occasion or over time can have immediate and long-term health risks. By drinking less alcohol, you can improve your health and well-being.
Alcohol's Effects on Health - National Institute on Alcohol Abuse …
Drinking too much – on a single occasion or over time – can take a serious toll on your health. The whole body is affected by alcohol use--not just the liver, but also the brain, gut, pancreas, …
Alcohol (Ethanol) Effects, Hazards & Warnings - Drugs.com
Feb 28, 2025 · Alcohol, or ethanol, is the intoxicating agent found in beer, wine and liquor. Alcohol is produced by fermentation of yeast, sugars, and starches. 1 Fruits such as grapes, and …
Alcohol use: Weighing risks and benefits - Mayo Clinic
Jun 21, 2024 · Drinking alcohol in any amount is a health risk that increases with each drink you have. The risk peaks with heavy drinking, including binge drinking, which carries serious …
Alcohol and your health: Risks, benefits, and controversies
Jan 27, 2025 · For millions of people, alcohol is a regular part of their lives. But there are many downsides to drinking — some familiar, others less well appreciated. And concerns about the …
Alcohol’s health effects: What you need to know
Aug 10, 2023 · It doesn’t take much for alcohol to start negatively affecting your health. Just one or two drinks can be enough to impair you. Learn why, and how the National Institute on …
Alcohol Use Disorder - Causes, Symptoms, Treatment & Help
Jun 6, 2023 · We know that drinking too much can harm your health. The Dietary Guidelines for Americans recommends that if adults (age 21 and older) choose to drink alcohol, drinking less …
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