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Digital Signal Processing with MATLAB Examples, Volume 2: Decomposition, Recovery, Data-Based Actions, Giron-Sierra Jose Maria


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Автор: Giron-Sierra Jose Maria
Название:  Digital Signal Processing with MATLAB Examples, Volume 2: Decomposition, Recovery, Data-Based Actions
ISBN: 9789811096433
Издательство: Springer
Классификация:

ISBN-10: 9811096430
Обложка/Формат: Paperback
Страницы: 913
Вес: 1.31 кг.
Дата издания: 05.07.2018
Серия: Signals and communication technology
Язык: English
Издание: Softcover reprint of
Иллюстрации: 279 illustrations, color; 380 illustrations, black and white; xxxix, 913 p. 659 illus., 279 illus. in color.
Размер: 23.39 x 15.60 x 4.78 cm
Читательская аудитория: General (us: trade)
Подзаголовок: Decomposition, recovery, data-based actions
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: 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.


Digital Signal Processing: Theory and Practice

Автор: Rao K. Deergha, Swamy M. N. S.
Название: Digital Signal Processing: Theory and Practice
ISBN: 9811080801 ISBN-13(EAN): 9789811080807
Издательство: Springer
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Цена: 9781.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

The book provides a comprehensive exposition of all major topics in digital signal processing (DSP). With numerous illustrative examples for easy understanding of the topics, it also includes MATLAB-based examples with codes in order to encourage the readers to become more confident of the fundamentals and to gain insights into DSP. Further, it presents real-world signal processing design problems using MATLAB and programmable DSP processors. In addition to problems that require analytical solutions, it discusses problems that require solutions using MATLAB at the end of each chapter.
Divided into 13 chapters, it addresses many emerging topics, which are not typically found in advanced texts on DSP. It includes a chapter on adaptive digital filters used in the signal processing problems for faster acceptable results in the presence of changing environments and changing system requirements. Moreover, it offers an overview of wavelets, enabling readers to easily understand the basics and applications of this powerful mathematical tool for signal and image processing. The final chapter explores DSP processors, which is an area of growing interest for researchers. A valuable resource for undergraduate and graduate students, it can also be used for self-study by researchers, practicing engineers and scientists in electronics, communications, and computer engineering as well as for teaching one- to two-semester courses.
Digital Signal Processing with MATLAB Examples, Volume 1: Signals and Data, Filtering, Non-Stationary Signals, Modulation

Автор: Giron-Sierra Jose Maria
Название: Digital Signal Processing with MATLAB Examples, Volume 1: Signals and Data, Filtering, Non-Stationary Signals, Modulation
ISBN: 9811096422 ISBN-13(EAN): 9789811096426
Издательство: Springer
Рейтинг:
Цена: 12577.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.

Introduction to digital signal processing using matlab with application to digital communications

Автор: Thyagarajan, K.s.
Название: Introduction to digital signal processing using matlab with application to digital communications
ISBN: 3319760289 ISBN-13(EAN): 9783319760285
Издательство: Springer
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Цена: 8384.00 р.
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Описание: 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.

Advances in Audio Watermarking Based on Singular Value Decomposition

Автор: Pranab Kumar Dhar; Tetsuya Shimamura
Название: Advances in Audio Watermarking Based on Singular Value Decomposition
ISBN: 3319147994 ISBN-13(EAN): 9783319147994
Издательство: Springer
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Цена: 9141.00 р.
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Описание: This book introduces audio watermarking methods for copyright protection, which has drawn extensive attention for securing digital data from unauthorized copying.

Advances in Audio Watermarking Based on Matrix Decomposition

Автор: Pranab Kumar Dhar; Tetsuya Shimamura
Название: Advances in Audio Watermarking Based on Matrix Decomposition
ISBN: 3030157253 ISBN-13(EAN): 9783030157258
Издательство: Springer
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Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book introduces audio watermarking methods in transform domain based on matrix decomposition for copyright protection. Chapter 1 discusses the application and properties of digital watermarking. Chapter 2 proposes a blind lifting wavelet transform (LWT) based watermarking method using fast Walsh Hadamard transform (FWHT) and singular value decomposition (SVD) for audio copyright protection. Chapter 3 presents a blind audio watermarking method based on LWT and QR decomposition (QRD) for audio copyright protection. Chapter 4 introduces an audio watermarking algorithm based on FWHT and LU decomposition (LUD). Chapter 5 proposes an audio watermarking method based on LWT and Schur decomposition (SD). Chapter 6 explains in details on the challenges and future trends of audio watermarking in various application areas.

Introduces audio watermarking methods for copyright protection and ownership protection;Describes watermarking methods with encryption and decryption that provide excellent performance in terms of imperceptibility, robustness, and data payload;Discusses in details on the challenges and future research direction of audio watermarking in various application areas.
Digital Signal Processing with MATLAB Examples, Volume 3: Model-Based Actions and Sparse Representation

Автор: Giron-Sierra Jose Maria
Название: Digital Signal Processing with MATLAB Examples, Volume 3: Model-Based Actions and Sparse Representation
ISBN: 9811096449 ISBN-13(EAN): 9789811096440
Издательство: Springer
Рейтинг:
Цена: 11878.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.

Statistical digital signal processing and modeling

Автор: Hayes, Monson H.
Название: Statistical digital signal processing and modeling
ISBN: 0471594318 ISBN-13(EAN): 9780471594314
Издательство: Wiley
Рейтинг:
Цена: 45636.00 р.
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Описание: This book responds to the dramatic growth in digital signal processing (DSP) over the past decade. While its focal point is signal modeling, the book integrates and explores the relationships of signal modeling to the important problems of optimal filtering, spectral estimation, and adaptive filtering.

Digital Signal Processing with Matlab Examples, Volume 1

Автор: Jose Maria Giron-Sierra
Название: Digital Signal Processing with Matlab Examples, Volume 1
ISBN: 9811025339 ISBN-13(EAN): 9789811025334
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.

Digital Signal Processing with Matlab Examples, Volume 3

Автор: Jose Maria Giron-Sierra
Название: Digital Signal Processing with Matlab Examples, Volume 3
ISBN: 9811025398 ISBN-13(EAN): 9789811025396
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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 Processing with Matlab Examples, Volume 2

Автор: Jose Maria Giron-Sierra
Название: Digital Signal Processing with Matlab Examples, Volume 2
ISBN: 9811025363 ISBN-13(EAN): 9789811025365
Издательство: Springer
Рейтинг:
Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.

Algorithm Collections for Digital Signal Processing Applications Using Matlab

Автор: E.S. Gopi
Название: Algorithm Collections for Digital Signal Processing Applications Using Matlab
ISBN: 9048176301 ISBN-13(EAN): 9789048176304
Издательство: Springer
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Цена: 19589.00 р.
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Описание: The Algorithms such as SVD, Eigen decomposition, Gaussian Mixture Model, HMM etc. 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.

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

Автор: Thyagarajan K. S.
Название: Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications
ISBN: 3030093840 ISBN-13(EAN): 9783030093846
Издательство: Springer
Рейтинг:
Цена: 8384.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.


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