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Advanced Signal Processing: A Concise Guide

Author: Amir-Homayoon Najmi

Publisher: McGraw Hill Professional

Published: 2020-08-28

Total Pages: 353

ISBN-13: 1260458946

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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. A comprehensive introduction to the mathematical principles and algorithms in statistical signal processing and modern neural networks. This text is an expanded version of a graduate course on advanced signal processing at the Johns Hopkins University Whiting school program for professionals with students from electrical engineering, physics, computer and data science, and mathematics backgrounds. It covers the theory underlying applications in statistical signal processing including spectral estimation, linear prediction, adaptive filters, and optimal processing of uniform spatial arrays. Unique among books on the subject, it also includes a comprehensive introduction to modern neural networks with examples in time series and image classification. Coverage includes: Mathematical structures of signal spaces and matrix factorizations linear time-invariant systems and transforms Least squares filters Random variables, estimation theory, and random processes Spectral estimation and autoregressive signal models linear prediction and adaptive filters Optimal processing of linear arrays Neural networks

Book Synopsis Advanced Signal Processing: A Concise Guide by : Amir-Homayoon Najmi

Download or read book Advanced Signal Processing: A Concise Guide written by Amir-Homayoon Najmi and published by McGraw Hill Professional. This book was released on 2020-08-28 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. A comprehensive introduction to the mathematical principles and algorithms in statistical signal processing and modern neural networks. This text is an expanded version of a graduate course on advanced signal processing at the Johns Hopkins University Whiting school program for professionals with students from electrical engineering, physics, computer and data science, and mathematics backgrounds. It covers the theory underlying applications in statistical signal processing including spectral estimation, linear prediction, adaptive filters, and optimal processing of uniform spatial arrays. Unique among books on the subject, it also includes a comprehensive introduction to modern neural networks with examples in time series and image classification. Coverage includes: Mathematical structures of signal spaces and matrix factorizations linear time-invariant systems and transforms Least squares filters Random variables, estimation theory, and random processes Spectral estimation and autoregressive signal models linear prediction and adaptive filters Optimal processing of linear arrays Neural networks

Advanced Signal Processing Handbook

Author: Stergios Stergiopoulos

Publisher:

Published: 2018

Total Pages: 0

ISBN-13:

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Book Synopsis Advanced Signal Processing Handbook by : Stergios Stergiopoulos

Download or read book Advanced Signal Processing Handbook written by Stergios Stergiopoulos and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Wavelets

Author: Amir-Homayoon Najmi

Publisher: JHU Press

Published: 2012-04-15

Total Pages: 303

ISBN-13: 1421405598

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Introduced nearly three decades ago as a variable resolution alternative to the Fourier transform, a wavelet is a short oscillatory waveform for analysis of transients. The discrete wavelet transform has remarkable multi-resolution and energy-compaction properties. Amir-Homayoon Najmi’s introduction to wavelet theory explains this mathematical concept clearly and succinctly. Wavelets are used in processing digital signals and imagery from myriad sources. They form the backbone of the JPEG2000 compression standard, and the Federal Bureau of Investigation uses biorthogonal wavelets to compress and store its vast database of fingerprints. Najmi provides the mathematics that demonstrate how wavelets work, describes how to construct them, and discusses their importance as a tool to investigate and process signals and imagery. He reviews key concepts such as frames, localizing transforms, orthogonal and biorthogonal bases, and multi-resolution. His examples include the Haar, the Shannon, and the Daubechies families of orthogonal and biorthogonal wavelets. Our capacity and need for collecting and transmitting digital data is increasing at an astonishing rate. So too is the importance of wavelets to anyone working with and analyzing digital data. Najmi’s primer will be an indispensable resource for those in computer science, the physical sciences, applied mathematics, and engineering who wish to obtain an in-depth understanding and working knowledge of this fascinating and evolving field.

Book Synopsis Wavelets by : Amir-Homayoon Najmi

Download or read book Wavelets written by Amir-Homayoon Najmi and published by JHU Press. This book was released on 2012-04-15 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduced nearly three decades ago as a variable resolution alternative to the Fourier transform, a wavelet is a short oscillatory waveform for analysis of transients. The discrete wavelet transform has remarkable multi-resolution and energy-compaction properties. Amir-Homayoon Najmi’s introduction to wavelet theory explains this mathematical concept clearly and succinctly. Wavelets are used in processing digital signals and imagery from myriad sources. They form the backbone of the JPEG2000 compression standard, and the Federal Bureau of Investigation uses biorthogonal wavelets to compress and store its vast database of fingerprints. Najmi provides the mathematics that demonstrate how wavelets work, describes how to construct them, and discusses their importance as a tool to investigate and process signals and imagery. He reviews key concepts such as frames, localizing transforms, orthogonal and biorthogonal bases, and multi-resolution. His examples include the Haar, the Shannon, and the Daubechies families of orthogonal and biorthogonal wavelets. Our capacity and need for collecting and transmitting digital data is increasing at an astonishing rate. So too is the importance of wavelets to anyone working with and analyzing digital data. Najmi’s primer will be an indispensable resource for those in computer science, the physical sciences, applied mathematics, and engineering who wish to obtain an in-depth understanding and working knowledge of this fascinating and evolving field.

Advanced Signal Processing for Communication Systems

Author: Tadeusz Wysocki

Publisher: Springer Science & Business Media

Published: 2002-10-31

Total Pages: 294

ISBN-13: 1402072023

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Advanced Signal Processing for Communication Systems consists of 20 contributions from researchers and experts. The first group of chapters deals with the audio and video processing for communications applications, including topics ranging from multimedia content delivery over the Internet, through the speech processing and recognition to recognition of non-speech sounds that can be attributed to the surrounding environment. The book also includes sections on applications of error control coding, information theory, and digital signal processing for communication systems like modulation, software-defined radio, and channel estimation. Advanced Signal Processing for Communication Systems is written for researchers working on communication systems and signal processing, as well as telecommunications industry professionals.

Book Synopsis Advanced Signal Processing for Communication Systems by : Tadeusz Wysocki

Download or read book Advanced Signal Processing for Communication Systems written by Tadeusz Wysocki and published by Springer Science & Business Media. This book was released on 2002-10-31 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Signal Processing for Communication Systems consists of 20 contributions from researchers and experts. The first group of chapters deals with the audio and video processing for communications applications, including topics ranging from multimedia content delivery over the Internet, through the speech processing and recognition to recognition of non-speech sounds that can be attributed to the surrounding environment. The book also includes sections on applications of error control coding, information theory, and digital signal processing for communication systems like modulation, software-defined radio, and channel estimation. Advanced Signal Processing for Communication Systems is written for researchers working on communication systems and signal processing, as well as telecommunications industry professionals.

Statistical Signal Processing

Author: T. Chonavel

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 334

ISBN-13: 1447101391

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The only book on the subject at this level, this is a well written formalised and concise presentation of the basis of statistical signal processing. It teaches a wide variety of techniques, demonstrating how they can be applied to many different situations.

Book Synopsis Statistical Signal Processing by : T. Chonavel

Download or read book Statistical Signal Processing written by T. Chonavel and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: The only book on the subject at this level, this is a well written formalised and concise presentation of the basis of statistical signal processing. It teaches a wide variety of techniques, demonstrating how they can be applied to many different situations.

Signal Processing and Machine Learning with Applications

Author: Michael M. Richter

Publisher: Springer

Published: 2022-10-01

Total Pages: 0

ISBN-13: 9783319453712

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Signal processing captures, interprets, describes and manipulates physical phenomena. Mathematics, statistics, probability, and stochastic processes are among the signal processing languages we use to interpret real-world phenomena, model them, and extract useful information. This book presents different kinds of signals humans use and applies them for human machine interaction to communicate. Signal Processing and Machine Learning with Applications presents methods that are used to perform various Machine Learning and Artificial Intelligence tasks in conjunction with their applications. It is organized in three parts: Realms of Signal Processing; Machine Learning and Recognition; and Advanced Applications and Artificial Intelligence. The comprehensive coverage is accompanied by numerous examples, questions with solutions, with historical notes. The book is intended for advanced undergraduate and postgraduate students, researchers and practitioners who are engaged with signal processing, machine learning and the applications.

Book Synopsis Signal Processing and Machine Learning with Applications by : Michael M. Richter

Download or read book Signal Processing and Machine Learning with Applications written by Michael M. Richter and published by Springer. This book was released on 2022-10-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal processing captures, interprets, describes and manipulates physical phenomena. Mathematics, statistics, probability, and stochastic processes are among the signal processing languages we use to interpret real-world phenomena, model them, and extract useful information. This book presents different kinds of signals humans use and applies them for human machine interaction to communicate. Signal Processing and Machine Learning with Applications presents methods that are used to perform various Machine Learning and Artificial Intelligence tasks in conjunction with their applications. It is organized in three parts: Realms of Signal Processing; Machine Learning and Recognition; and Advanced Applications and Artificial Intelligence. The comprehensive coverage is accompanied by numerous examples, questions with solutions, with historical notes. The book is intended for advanced undergraduate and postgraduate students, researchers and practitioners who are engaged with signal processing, machine learning and the applications.

Advanced Signal Processing Handbook

Author: Stergios Stergiopoulos

Publisher: CRC Press

Published: 2017-09-08

Total Pages: 752

ISBN-13: 1351369458

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Advances in digital signal processing algorithms and computer technology have combined to produce real-time systems with capabilities far beyond those of just few years ago. Nonlinear, adaptive methods for signal processing have emerged to provide better array gain performance, however, they lack the robustness of conventional algorithms. The challenge remains to develop a concept that exploits the advantages of both-a scheme that integrates these methods in practical, real-time systems. The Advanced Signal Processing Handbook helps you meet that challenge. Beyond offering an outstanding introduction to the principles and applications of advanced signal processing, it develops a generic processing structure that takes advantage of the similarities that exist among radar, sonar, and medical imaging systems and integrates conventional and nonlinear processing schemes.

Book Synopsis Advanced Signal Processing Handbook by : Stergios Stergiopoulos

Download or read book Advanced Signal Processing Handbook written by Stergios Stergiopoulos and published by CRC Press. This book was released on 2017-09-08 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in digital signal processing algorithms and computer technology have combined to produce real-time systems with capabilities far beyond those of just few years ago. Nonlinear, adaptive methods for signal processing have emerged to provide better array gain performance, however, they lack the robustness of conventional algorithms. The challenge remains to develop a concept that exploits the advantages of both-a scheme that integrates these methods in practical, real-time systems. The Advanced Signal Processing Handbook helps you meet that challenge. Beyond offering an outstanding introduction to the principles and applications of advanced signal processing, it develops a generic processing structure that takes advantage of the similarities that exist among radar, sonar, and medical imaging systems and integrates conventional and nonlinear processing schemes.

A Simple Approach to Digital Signal Processing

Author: Craig Marven

Publisher: Wiley-Interscience

Published: 1996-03-26

Total Pages: 264

ISBN-13:

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A readable, understandable introduction to DSP for professionals and students alike . . . This practical guide is a welcome alternative to more complicated introductions to DSP. It assumes no prior DSP experience and takes the reader step-by-step through the most basic signal processing concepts to more complex functions and devices, including sampling, filtering, frequency transforms, data compression, and even DSP design decisions. The guide provides clear, concise explanations and examples, while keeping mathematics to a minimum, to help develop a fundamental understanding of DSP. Other features include: * An extensive resource bibliography of more advanced DSP books. * An example of a typical DSP system development cycle, including tool descriptions. * A complete glossary of DSP-related acronyms Whether you're a working engineer looking into DSP for the first time or an undergraduate struggling to comprehend the subject, this engaging introduction provides easy access to the basic knowledge that will lead to more advanced material. Texas Instruments has been designing and manufacturing single-chip DSP devices since 1982 and now produces eight distinct generations as part of the industry-standard TMS320 family. Much of this book is based on the experience TI gained in developing DSPs and training first-time users.

Book Synopsis A Simple Approach to Digital Signal Processing by : Craig Marven

Download or read book A Simple Approach to Digital Signal Processing written by Craig Marven and published by Wiley-Interscience. This book was released on 1996-03-26 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: A readable, understandable introduction to DSP for professionals and students alike . . . This practical guide is a welcome alternative to more complicated introductions to DSP. It assumes no prior DSP experience and takes the reader step-by-step through the most basic signal processing concepts to more complex functions and devices, including sampling, filtering, frequency transforms, data compression, and even DSP design decisions. The guide provides clear, concise explanations and examples, while keeping mathematics to a minimum, to help develop a fundamental understanding of DSP. Other features include: * An extensive resource bibliography of more advanced DSP books. * An example of a typical DSP system development cycle, including tool descriptions. * A complete glossary of DSP-related acronyms Whether you're a working engineer looking into DSP for the first time or an undergraduate struggling to comprehend the subject, this engaging introduction provides easy access to the basic knowledge that will lead to more advanced material. Texas Instruments has been designing and manufacturing single-chip DSP devices since 1982 and now produces eight distinct generations as part of the industry-standard TMS320 family. Much of this book is based on the experience TI gained in developing DSPs and training first-time users.

Analog and Digital Signal Processing

Author: Professor Hussein Baher

Publisher: John Wiley & Sons

Published: 2001-10-15

Total Pages: 526

ISBN-13: 9780471623540

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Building on the success of the first edition, this popular text book has now been updated and revised. Covering both analog and digital signal processing techniques in an evenly balanced manner, Professor Baher provides an excellent introductory and comprehensive text emphasising how analog and digital techniques complement each other rather than compete. Brings the entire area of signal processing within the scope of modern undergraduate curricula Discusses topics such as spectral analysis of continuous and discrete signals (deterministic and random), Fourier, Laplace, and z-transforms, analysis of continuous and discrete systems and circuits, design of analog and digital filters, fast Fourier transform algorithms and finite word-length effects in digital processors Presents a final chapter on advanced signal processing (including linear estimation, adaptive filters, over-sampling sigma-delta converters, and wavelets) to encourage further interest Contains numerous solved examples throughout and MATLAB(r) exercises at the end of each chapter Written primarily for undergraduates, Analog Digital Signal Processing will also be an authoritative text for postgraduate students and professional engineers.

Book Synopsis Analog and Digital Signal Processing by : Professor Hussein Baher

Download or read book Analog and Digital Signal Processing written by Professor Hussein Baher and published by John Wiley & Sons. This book was released on 2001-10-15 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building on the success of the first edition, this popular text book has now been updated and revised. Covering both analog and digital signal processing techniques in an evenly balanced manner, Professor Baher provides an excellent introductory and comprehensive text emphasising how analog and digital techniques complement each other rather than compete. Brings the entire area of signal processing within the scope of modern undergraduate curricula Discusses topics such as spectral analysis of continuous and discrete signals (deterministic and random), Fourier, Laplace, and z-transforms, analysis of continuous and discrete systems and circuits, design of analog and digital filters, fast Fourier transform algorithms and finite word-length effects in digital processors Presents a final chapter on advanced signal processing (including linear estimation, adaptive filters, over-sampling sigma-delta converters, and wavelets) to encourage further interest Contains numerous solved examples throughout and MATLAB(r) exercises at the end of each chapter Written primarily for undergraduates, Analog Digital Signal Processing will also be an authoritative text for postgraduate students and professional engineers.

Advanced Digital Signal Processing

Author: John G. Proakis

Publisher:

Published: 1992

Total Pages: 610

ISBN-13: 9780029463673

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Book Synopsis Advanced Digital Signal Processing by : John G. Proakis

Download or read book Advanced Digital Signal Processing written by John G. Proakis and published by . This book was released on 1992 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: