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Books > Computing & IT > Applications of computing > Image processing

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Digital Signal Processing with Matlab Examples, Volume 2 - Decomposition, Recovery, Data-Based Actions (Hardcover, 1st ed. 2017) Loot Price: R4,378
Discovery Miles 43 780
Digital Signal Processing with Matlab Examples, Volume 2 - Decomposition, Recovery, Data-Based Actions (Hardcover, 1st ed....

Digital Signal Processing with Matlab Examples, Volume 2 - Decomposition, Recovery, Data-Based Actions (Hardcover, 1st ed. 2017)

Jose Maria Giron-Sierra

Series: Signals and Communication Technology

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Loot Price R4,378 Discovery Miles 43 780 | Repayment Terms: R410 pm x 12*

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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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Signals and Communication Technology
Release date: December 2016
First published: 2017
Authors: Jose Maria Giron-Sierra
Dimensions: 235 x 155 x 49mm (L x W x T)
Format: Hardcover
Pages: 913
Edition: 1st ed. 2017
ISBN-13: 978-981-10-2536-5
Categories: Books > Computing & IT > Applications of computing > Signal processing
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
Books > Computing & IT > Applications of computing > Image processing > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN: 981-10-2536-3
Barcode: 9789811025365

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