Digital Signal Processing With Matlab Examples Volume 2

Author : Jose Maria Giron-Sierra
Publisher : Springer
Page : 913 pages
File Size : 49,5 Mb
Release : 2016-12-02
Category : Technology & Engineering
ISBN : 9789811025372

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Digital Signal Processing with Matlab Examples, Volume 2 by Jose Maria Giron-Sierra Pdf

This is the second 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 second book focuses on recent developments in response to the demands of new digital technologies. It is divided into two parts: the first part includes four chapters on the decomposition and recovery of signals, with special emphasis on images. In turn, the second part includes three chapters and addresses important data-based actions, such as adaptive filtering, experimental modeling, and classification.

Author : Jose Maria Giron-Sierra
Publisher : Springer
Page : 431 pages
File Size : 43,7 Mb
Release : 2016-11-21
Category : Technology & Engineering
ISBN : 9789811025402

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Digital Signal Processing with Matlab Examples, Volume 3 by Jose Maria Giron-Sierra Pdf

This is the third 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 primarily focuses on filter banks, wavelets, and images. While the Fourier transform is adequate for periodic signals, wavelets are more suitable for other cases, such as short-duration signals: bursts, spikes, tweets, lung sounds, etc. Both Fourier and wavelet transforms decompose signals into components. Further, both are also invertible, so the original signals can be recovered from their components. Compressed sensing has emerged as a promising idea. One of the intended applications is networked devices or sensors, which are now becoming a reality; accordingly, this topic is also addressed. A selection of experiments that demonstrate image denoising applications are also included. In the interest of reader-friendliness, the longer programs have been grouped in an appendix; further, a second appendix on optimization has been added to supplement the content of the last chapter.

Author : Gérard Blanchet,Maurice Charbit
Publisher : Wiley-ISTE
Page : 0 pages
File Size : 52,9 Mb
Release : 2015-02-16
Category : Technology & Engineering
ISBN : 1848216416

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Digital Signal and Image Processing using MATLAB, Volume 2 by Gérard Blanchet,Maurice Charbit Pdf

The most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals, the theory being supported by exercises and computer simulations relating to real applications. More than 200 programs and functions are provided in the MATLAB® language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject. Following on from the first volume, this second installation takes a more practical stance, providing readers with the applications of ISP.

Author : Jose Maria Giron-Sierra
Publisher : Springer
Page : 622 pages
File Size : 40,9 Mb
Release : 2016-11-19
Category : Technology & Engineering
ISBN : 9789811025341

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Digital Signal Processing with Matlab Examples, Volume 1 by Jose Maria Giron-Sierra Pdf

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.

Author : Samuel D. Stearns,Donald R. Hush
Publisher : CRC Press
Page : 516 pages
File Size : 55,6 Mb
Release : 2016-04-19
Category : Computers
ISBN : 9781439837832

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Digital Signal Processing with Examples in MATLAB by Samuel D. Stearns,Donald R. Hush Pdf

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

Author : Taan S. ElAli,Taan ElAli
Publisher : CRC Press
Page : 688 pages
File Size : 42,7 Mb
Release : 2003-09-29
Category : Technology & Engineering
ISBN : 9780203487112

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Discrete Systems and Digital Signal Processing with MATLAB by Taan S. ElAli,Taan ElAli Pdf

Books on linear systems typically cover both discrete and continuous systems together in one book. However, with coverage of this magnitude, not enough information is presented on either of the two subjects. Discrete linear systems warrant a book of their own, and Discrete Systems and Digital Signal Processing with MATLAB provides just that. It offers comprehensive coverage of both discrete linear systems and signal processing in one volume. This detailed book is firmly rooted in basic mathematical principles, and it includes many problems solved first by using analytical tools, then by using MATLAB. Examples that illustrate the theoretical concepts are provided at the end of each chapter.

Author : Vinay K. Ingle,John G. Proakis
Publisher : Nelson Books
Page : 605 pages
File Size : 43,7 Mb
Release : 2007
Category : Digitale Signalverarbeitung - MATLAB
ISBN : 0495244414

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Digital Signal Processing Using MATLAB by Vinay K. Ingle,John G. Proakis Pdf

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.

Author : Michael Weeks
Publisher : Jones & Bartlett Publishers
Page : 513 pages
File Size : 54,5 Mb
Release : 2011
Category : Computers
ISBN : 9780763784225

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Digital Signal Processing Using MATLAB & Wavelets by Michael Weeks Pdf

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.

Author : Michael Weeks
Publisher : Unknown
Page : 492 pages
File Size : 47,9 Mb
Release : 2016*
Category : MATLAB.
ISBN : 938085367X

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Digital Signal Processing Using MATLAB and Wavelets by Michael Weeks Pdf

"This book emphasizes the practical applictions 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."--Provided by publisher.

Author : Vinay K. Ingle,John G. Proakis
Publisher : Unknown
Page : 555 pages
File Size : 55,5 Mb
Release : 2012
Category : MATLAB.
ISBN : 9814410888

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Digital Signal Processing Using MATLAB by Vinay K. Ingle,John G. Proakis Pdf

Author : Samuel D. Stearns,Donald R. Hush
Publisher : CRC Press
Page : 362 pages
File Size : 44,8 Mb
Release : 2002-08-28
Category : Technology & Engineering
ISBN : 0849310911

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Digital Signal Processing with Examples in MATLAB®, Second Edition by Samuel D. Stearns,Donald R. Hush Pdf

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.

Author : Zahir M. Hussain,Amin Z. Sadik,Peter O’Shea
Publisher : Springer Science & Business Media
Page : 350 pages
File Size : 51,6 Mb
Release : 2011-02-17
Category : Technology & Engineering
ISBN : 9783642155918

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Digital Signal Processing by Zahir M. Hussain,Amin Z. Sadik,Peter O’Shea Pdf

In three parts, this book contributes to the advancement of engineering education and that serves as a general reference on digital signal processing. Part I presents the basics of analog and digital signals and systems in the time and frequency domain. It covers the core topics: convolution, transforms, filters, and random signal analysis. It also treats important applications including signal detection in noise, radar range estimation for airborne targets, binary communication systems, channel estimation, banking and financial applications, and audio effects production. Part II considers selected signal processing systems and techniques. Core topics covered are the Hilbert transformer, binary signal transmission, phase-locked loops, sigma-delta modulation, noise shaping, quantization, adaptive filters, and non-stationary signal analysis. Part III presents some selected advanced DSP topics.

Author : John W. Leis
Publisher : John Wiley & Sons
Page : 352 pages
File Size : 54,9 Mb
Release : 2011-10-14
Category : Science
ISBN : 9781118033807

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Digital Signal Processing Using MATLAB for Students and Researchers by John W. Leis Pdf

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.

Author : Gérard Blanchet,Maurice Charbit
Publisher : John Wiley & Sons
Page : 362 pages
File Size : 43,7 Mb
Release : 2015-10-02
Category : Technology & Engineering
ISBN : 9781119054108

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Digital Signal and Image Processing using MATLAB, Volume 3 by Gérard Blanchet,Maurice Charbit Pdf

Volume 3 of the second edition of the fully revised and updated Digital Signal and Image Processing using MATLAB®, after first two volumes on the “Fundamentals” and “Advances and Applications: The Deterministic Case”, focuses on the stochastic case. It will be of particular benefit to readers who already possess a good knowledge of MATLAB®, a command of the fundamental elements of digital signal processing and who are familiar with both the fundamentals of continuous-spectrum spectral analysis and who have a certain mathematical knowledge concerning Hilbert spaces. This volume is focused on applications, but it also provides a good presentation of the principles. A number of elements closer in nature to statistics than to signal processing itself are widely discussed. This choice comes from a current tendency of signal processing to use techniques from this field. More than 200 programs and functions are provided in the MATLAB® language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject.

Author : Keonwook Kim
Publisher : Springer Nature
Page : 684 pages
File Size : 44,5 Mb
Release : 2021
Category : Digital filters (Mathematics)
ISBN : 9789811525841

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Conceptual Digital Signal Processing with MATLAB by Keonwook Kim Pdf

This textbook provides an introduction to the study of digital signal processing, employing a top-to-bottom structure to motivate the reader, a graphical approach to the solution of the signal processing mathematics, and extensive use of MATLAB. In contrast to the conventional teaching approach, the book offers a top-down approach which first introduces students to digital filter design, provoking questions about the mathematical tools required. The following chapters provide answers to these questions, introducing signals in the discrete domain, Fourier analysis, filters in the time domain and the Z-transform. The author introduces the mathematics in a conceptual manner with figures to illustrate the physical meaning of the equations involved. Chapter six builds on these concepts and discusses advanced filter design, and chapter seven discusses matters of practical implementation. This book introduces the corresponding MATLAB functions and programs in every chapter with examples, and the final chapter introduces the actual real-time filter from MATLAB. Aimed primarily at undergraduate students in electrical and electronic engineering, this book enables the reader to implement a digital filter using MATLAB.