Digital Signal Processing Using Matlab V 4
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Digital Signal Processing Using Matlab V 4
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Author : Vinay K. Ingle
language : en
Publisher: Brooks/Cole
Release Date : 1997
Digital Signal Processing Using Matlab V 4 written by Vinay K. Ingle and has been published by Brooks/Cole this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.
Intended to supplement traditional references on digital signal processing (DSP) for readers who wish to make MATLAB an integral part of DSP, this text covers such topics as Discrete-time signals and systems, Discrete-time Fourier analysis, the z-Transform, the Discrete Fourier Transform, digital filter structures, FIR filter design, IIR filter design, and more.
Digital Signal Processing Using Matlab
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Author : Vinay K. Ingle
language : en
Publisher:
Release Date : 2012
Digital Signal Processing Using Matlab written by Vinay K. Ingle and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with MATLAB. categories.
Digital Signal Processing Using Matlab For Students And Researchers
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Author : John W. Leis
language : en
Publisher: John Wiley & Sons
Release Date : 2011-10-14
Digital Signal Processing Using Matlab For Students And Researchers written by John W. Leis and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-14 with Science categories.
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.
Digital Signal Processing Using Matlab Wavelets
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Author : Michael Weeks
language : en
Publisher: Jones & Bartlett Publishers
Release Date : 2011
Digital Signal Processing Using Matlab Wavelets written by Michael Weeks and has been published by Jones & Bartlett Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.
Although Digital Signal Processing (DSP) has long been considered an electrical engineering topic, recent developments have also generated significant interest from the computer science community. DSP applications in the consumer market, such as bioinformatics, the MP3 audio format, and MPEG-based cable/satellite television have fueled a desire to understand this technology outside of hardware circles. Designed for upper division engineering and computer science students as well as practicing engineers and scientists, Digital Signal Processing Using MATLAB & Wavelets, Second Edition emphasizes the practical applications of signal processing. Over 100 MATLAB examples and wavelet techniques provide the latest applications of DSP, including image processing, games, filters, transforms, networking, parallel processing, and sound. This Second Edition also provides the mathematical processes and techniques needed to ensure an understanding of DSP theory. Designed to be incremental in difficulty, the book will benefit readers who are unfamiliar with complex mathematical topics or those limited in programming experience. Beginning with an introduction to MATLAB programming, it moves through filters, sinusoids, sampling, the Fourier transform, the z-transform and other key topics. Two chapters are dedicated to the discussion of wavelets and their applications. A CD-ROM (platform independent) accompanies the book and contains source code, projects for each chapter, and the figures from the book.
Digital Signal Processing Using Matlab
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Author : Vinay K. Ingle
language : en
Publisher: Nelson Books
Release Date : 2007
Digital Signal Processing Using Matlab written by Vinay K. Ingle and has been published by Nelson Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Digitale Signalverarbeitung - MATLAB categories.
This supplement to any standard DSP text is one of the first books to successfully integrate the use of MATLAB® in the study of DSP concepts. In this book, MATLAB® is used as a computing tool to explore traditional DSP topics, and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB® makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored. This updated second edition includes new homework problems and revises the scripts in the book, available functions, and m-files to MATLAB® V7.
Understanding Digital Signal Processing With Matlab R And Solutions
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Author : Alexander D. Poularikas
language : en
Publisher: CRC Press
Release Date : 2021-03-31
Understanding Digital Signal Processing With Matlab R And Solutions written by Alexander D. Poularikas and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-31 with categories.
The book discusses signals that most electrical engineers detect and study. The vast majority of signals could never be detected due to random additive signals, known as noise, that distorts them or completely overshadows them. The text presents the methods for extracting the desired signals from the noise. It includes examples that use MATLAB.
Digital Signal Processing With Matlab Examples Volume 1
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Author : Jose Maria Giron-Sierra
language : en
Publisher: Springer
Release Date : 2018-06-29
Digital Signal Processing With Matlab Examples Volume 1 written by Jose Maria Giron-Sierra and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-29 with Technology & Engineering categories.
This is the first volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs. This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study. The code is embedded in the text, helping readers to put into practice the ideas and methods discussed. The book is divided into three parts, the first of which introduces readers to periodic and non-periodic signals. The second part is devoted to filtering, which is an important and commonly used application. The third part addresses more advanced topics, including the analysis of real-world non-stationary signals and data, e.g. structural fatigue, earthquakes, electro-encephalograms, birdsong, etc. The book’s last chapter focuses on modulation, an example of the intentional use of non-stationary signals.
Digital Signal Processing Using Matlab
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Author : Andr¿ Quinquis
language : en
Publisher: John Wiley & Sons
Release Date : 2010-01-05
Digital Signal Processing Using Matlab written by Andr¿ Quinquis and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-05 with Technology & Engineering categories.
This book uses MATLAB as a computing tool to explore traditional DSP topics and solve problems. This greatly expands the range and complexity of problems that students can effectively study in signal processing courses. A large number of worked examples, computer simulations and applications are provided, along with theoretical aspects that are essential in order to gain a good understanding of the main topics. Practicing engineers may also find it useful as an introductory text on the subject.
Mathematical Summary For Digital Signal Processing Applications With Matlab
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Author : E. S. Gopi
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-03-10
Mathematical Summary For Digital Signal Processing Applications With Matlab written by E. S. Gopi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-10 with Technology & Engineering categories.
Mathematical summary for Digital Signal Processing Applications with Matlab consists of Mathematics which is not usually dealt in the DSP core subject, but used in DSP applications. Matlab programs with illustrations are given for the selective topics such as generation of Multivariate Gaussian distributed sample outcomes, Bacterial foraging algorithm, Newton’s iteration, Steepest descent algorithm, etc. are given exclusively in the separate chapter. Also Mathematical summary for Digital Signal Processing Applications with Matlab is written in such a way that it is suitable for Non-Mathematical readers and is very much suitable for the beginners who are doing research in Digital Signal Processing.
Signals Systems Transforms And Digital Signal Processing With Matlab
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Author : Michael Corinthios
language : en
Publisher: CRC Press
Release Date : 2018-09-03
Signals Systems Transforms And Digital Signal Processing With Matlab written by Michael Corinthios and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-03 with Technology & Engineering categories.
Signals, Systems, Transforms, and Digital Signal Processing with MATLAB® has as its principal objective simplification without compromise of rigor. Graphics, called by the author, "the language of scientists and engineers", physical interpretation of subtle mathematical concepts, and a gradual transition from basic to more advanced topics are meant to be among the important contributions of this book. After illustrating the analysis of a function through a step-by-step addition of harmonics, the book deals with Fourier and Laplace transforms. It then covers discrete time signals and systems, the z-transform, continuous- and discrete-time filters, active and passive filters, lattice filters, and continuous- and discrete-time state space models. The author goes on to discuss the Fourier transform of sequences, the discrete Fourier transform, and the fast Fourier transform, followed by Fourier-, Laplace, and z-related transforms, including Walsh–Hadamard, generalized Walsh, Hilbert, discrete cosine, Hartley, Hankel, Mellin, fractional Fourier, and wavelet. He also surveys the architecture and design of digital signal processors, computer architecture, logic design of sequential circuits, and random signals. He concludes with simplifying and demystifying the vital subject of distribution theory. Drawing on much of the author’s own research work, this book expands the domains of existence of the most important transforms and thus opens the door to a new world of applications using novel, powerful mathematical tools.