Algorithm Collections for Digital Signal Processing Applications Using Matlab

Algorithm Collections for Digital Signal Processing Applications Using Matlab
Author: E.S. Gopi
Publisher: Springer Science & Business Media
Total Pages: 200
Release: 2007-09-20
Genre: Technology & Engineering
ISBN: 1402064101

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The Algorithms such as SVD, Eigen decomposition, Gaussian Mixture Model, HMM etc. are presently scattered in different fields. There remains a need to collect all such algorithms for quick reference. Also there is the need to view such algorithms in application point of view. This book attempts to satisfy the above requirement. The algorithms are made clear using MATLAB programs.

Digital Signal and Image Processing using MATLAB, Volume 1

Digital Signal and Image Processing using MATLAB, Volume 1
Author: Gérard Blanchet
Publisher: John Wiley & Sons
Total Pages: 512
Release: 2014-07-22
Genre: Technology & Engineering
ISBN: 1848216408

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This fully revised and updated second edition presents the most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals. The theory is 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. This fully revised new edition updates : the introduction to MATLAB programs and functions as well as the Graphically displaying results for 2D displays. Calibration fundamentals for Discrete Time Signals and Sampling in Deterministic signals. image processing by modifying the contrast. also added are examples and exercises.

Digital Signal Processing with Examples in MATLAB

Digital Signal Processing with Examples in MATLAB
Author: Samuel D. Stearns
Publisher: CRC Press
Total Pages: 516
Release: 2016-04-19
Genre: Computers
ISBN: 143983783X

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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

Digital Signal Processing Using MATLAB for Students and Researchers

Digital Signal Processing Using MATLAB for Students and Researchers
Author: John W. Leis
Publisher: John Wiley & Sons
Total Pages: 352
Release: 2011-10-14
Genre: Science
ISBN: 1118033809

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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 and Image Processing using MATLAB, Volume 2

Digital Signal and Image Processing using MATLAB, Volume 2
Author: Gérard Blanchet
Publisher: John Wiley & Sons
Total Pages: 276
Release: 2015-02-16
Genre: Technology & Engineering
ISBN: 1848216416

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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.

Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications

Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications
Author: K.S. Thyagarajan
Publisher: Springer
Total Pages: 510
Release: 2018-05-28
Genre: Technology & Engineering
ISBN: 3319760297

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This textbook provides engineering students with instruction on processing signals encountered in speech, music, and wireless communications using software or hardware by employing basic mathematical methods. The book starts with an overview of signal processing, introducing readers to the field. It goes on to give instruction in converting continuous time signals into digital signals and discusses various methods to process the digital signals, such as filtering. The author uses MATLAB throughout as a user-friendly software tool to perform various digital signal processing algorithms and to simulate real-time systems. Readers learn how to convert analog signals into digital signals; how to process these signals using software or hardware; and how to write algorithms to perform useful operations on the acquired signals such as filtering, detecting digitally modulated signals, correcting channel distortions, etc. Students are also shown how to convert MATLAB codes into firmware codes. Further, students will be able to apply the basic digital signal processing techniques in their workplace. The book is based on the author's popular online course at University of California, San Diego.

Mathematical Summary for Digital Signal Processing Applications with Matlab

Mathematical Summary for Digital Signal Processing Applications with Matlab
Author: E. S. Gopi
Publisher: Springer Science & Business Media
Total Pages: 229
Release: 2010-03-10
Genre: Technology & Engineering
ISBN: 9048137470

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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.

Digital Signal and Image Processing using MATLAB, Volume 3

Digital Signal and Image Processing using MATLAB, Volume 3
Author: Gérard Blanchet
Publisher: John Wiley & Sons
Total Pages: 365
Release: 2015-10-02
Genre: Technology & Engineering
ISBN: 1119054095

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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.

Signal Processing Algorithms in MATLAB

Signal Processing Algorithms in MATLAB
Author: Samuel D. Stearns
Publisher: Prentice Hall PTR
Total Pages: 410
Release: 1996
Genre: Computers
ISBN:

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MATLAB is the current "hot" language in signal processing. This book/disk package deails the basic algorithms of digital signal processing, and is written around a set of over 50 MATLAB function m-files, each of which is included on the disk. Emphasizes the application, as opposed to the theory of digital signal processing, covering discrete Fourier transforms, spectral analysis, the frequency and time-domain response of linear systems, digital IIR and FIR filtering; fast convolution and correlation algorithms; least-squares design; adaptive signal processing, and statistical parameters. For signal processing engineers.

Digital Signal and Image Processing using MATLAB, Volume 3

Digital Signal and Image Processing using MATLAB, Volume 3
Author: Gérard Blanchet
Publisher: John Wiley & Sons
Total Pages: 361
Release: 2015-10-02
Genre: Technology & Engineering
ISBN: 1119054109

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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.