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Digital Signal Processing with Matlab Examples, Volume 2

2016-12-02 Technology & Engineering
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Release : 2016-12-02
Genre : Technology & Engineering
Kind : eBook
Book Rating : 371/5 ( reviews)

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Book Synopsis Digital Signal Processing with Matlab Examples, Volume 2 by : Jose Maria Giron-Sierra

Download or read book Digital Signal Processing with Matlab Examples, Volume 2 written by Jose Maria Giron-Sierra. This book was released on 2016-12-02. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Digital Signal Processing with Matlab Examples, Volume 3

2016-11-21 Technology & Engineering
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Release : 2016-11-21
Genre : Technology & Engineering
Kind : eBook
Book Rating : 401/5 ( reviews)

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Book Synopsis Digital Signal Processing with Matlab Examples, Volume 3 by : Jose Maria Giron-Sierra

Download or read book Digital Signal Processing with Matlab Examples, Volume 3 written by Jose Maria Giron-Sierra. This book was released on 2016-11-21. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Digital Signal and Image Processing using MATLAB, Volume 2

2015-02-02 Technology & Engineering
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Release : 2015-02-02
Genre : Technology & Engineering
Kind : eBook
Book Rating : 606/5 ( reviews)

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Book Synopsis Digital Signal and Image Processing using MATLAB, Volume 2 by : Gérard Blanchet

Download or read book Digital Signal and Image Processing using MATLAB, Volume 2 written by Gérard Blanchet. This book was released on 2015-02-02. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Digital Signal Processing Using MATLAB

2007 Digitale Signalverarbeitung - MATLAB
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Release : 2007
Genre : Digitale Signalverarbeitung - MATLAB
Kind : eBook
Book Rating : 417/5 ( reviews)

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Book Synopsis Digital Signal Processing Using MATLAB by : Vinay K. Ingle

Download or read book Digital Signal Processing Using MATLAB written by Vinay K. Ingle. This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Digital Signal Processing Using MATLAB for Students and Researchers

2011-10-14 Science
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Release : 2011-10-14
Genre : Science
Kind : eBook
Book Rating : 809/5 ( reviews)

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Book Synopsis Digital Signal Processing Using MATLAB for Students and Researchers by : John W. Leis

Download or read book Digital Signal Processing Using MATLAB for Students and Researchers written by John W. Leis. This book was released on 2011-10-14. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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