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Digital Spectral Analysis MATLAB® Software User Guide

2019-05-15 Technology & Engineering
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Release : 2019-05-15
Genre : Technology & Engineering
Kind : eBook
Book Rating : 386/5 ( reviews)

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Book Synopsis Digital Spectral Analysis MATLAB® Software User Guide by : S. Lawrence Marple, Jr.

Download or read book Digital Spectral Analysis MATLAB® Software User Guide written by S. Lawrence Marple, Jr.. This book was released on 2019-05-15. Available in PDF, EPUB and Kindle. Book excerpt: This user guide serves as a companion to Digital Spectral Analysis, Second Edition (Dover Publications, 2019), illustrating all the text's techniques and algorithms, plus time versus frequency analysis. The spectral demonstrations use MATLAB software that encompasses the full experience from inputting signal sources, interactively setting technique parameters and processing with those parameters, and choosing from a variety of plotting techniques to display the results. The processing functions and scripts have been coded to automatically handle sample data that is either real-valued or complex-valued, permitting the user to simply modify the demonstration scripts to input their own data for analysis. Four integrated software categories support the demonstrations. These are the main MATLAB spectral demonstration scripts, supporting MATLAB plotting scripts, MATLAB processing functions listed in this guide, and signal sample data sources. Scripts and demonstration data files can be found on the Dover website for free downloading; see the Introduction for details.

Digital Spectral Analysis

2019-03-20 Technology & Engineering
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Release : 2019-03-20
Genre : Technology & Engineering
Kind : eBook
Book Rating : 52X/5 ( reviews)

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Book Synopsis Digital Spectral Analysis by : S. Lawrence Marple, Jr.

Download or read book Digital Spectral Analysis written by S. Lawrence Marple, Jr.. This book was released on 2019-03-20. Available in PDF, EPUB and Kindle. Book excerpt: Digital Spectral Analysis offers a broad perspective of spectral estimation techniques and their implementation. Coverage includes spectral estimation of discrete-time or discrete-space sequences derived by sampling continuous-time or continuous-space signals. The treatment emphasizes the behavior of each spectral estimator for short data records and provides over 40 techniques described and available as implemented MATLAB functions. In addition to summarizing classical spectral estimation, this text provides theoretical background and review material in linear systems, Fourier transforms, matrix algebra, random processes, and statistics. Topics include Prony's method, parametric methods, the minimum variance method, eigenanalysis-based estimators, multichannel methods, and two-dimensional methods. Suitable for advanced undergraduates and graduate students of electrical engineering — and for scientific use in the signal processing application community outside of universities — the treatment's prerequisites include some knowledge of discrete-time linear system and transform theory, introductory probability and statistics, and linear algebra. 1987 edition.

Signal Processing Toolbox for Use with MATLAB

2002 Algebras, Linear
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Release : 2002
Genre : Algebras, Linear
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Signal Processing Toolbox for Use with MATLAB by : MathWorks, Inc

Download or read book Signal Processing Toolbox for Use with MATLAB written by MathWorks, Inc. This book was released on 2002. Available in PDF, EPUB and Kindle. Book excerpt:

Signals and Systems Using MATLAB

2018-10-29 Technology & Engineering
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Release : 2018-10-29
Genre : Technology & Engineering
Kind : eBook
Book Rating : 057/5 ( reviews)

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Book Synopsis Signals and Systems Using MATLAB by : Luis F. Chaparro

Download or read book Signals and Systems Using MATLAB written by Luis F. Chaparro. This book was released on 2018-10-29. Available in PDF, EPUB and Kindle. Book excerpt: Signals and Systems Using MATLAB, Third Edition, features a pedagogically rich and accessible approach to what can commonly be a mathematically dry subject. Historical notes and common mistakes combined with applications in controls, communications and signal processing help students understand and appreciate the usefulness of the techniques described in the text. This new edition features more end-of-chapter problems, new content on two-dimensional signal processing, and discussions on the state-of-the-art in signal processing. - Introduces both continuous and discrete systems early, then studies each (separately) in-depth - Contains an extensive set of worked examples and homework assignments, with applications for controls, communications, and signal processing - Begins with a review on all the background math necessary to study the subject - Includes MATLAB® applications in every chapter

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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