Digital signal processing with Matlab examples. Volume 2, Decomposition, recovery, data-based actions /

Digital signal processing with Matlab examples. Volume 2, Decomposition, recovery, data-based actions /

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Bibliographic Details
Author / Creator:	Giron-Sierra, Jose Maria, author.
Imprint:	Singapore : Springer, 2017.
Description:	1 online resource (xxxix, 913 pages) : illustrations (some color)
Language:	English
Series:	Signals and communication technology, 1860-4862 Signals and communication technology,
Subject:	MATLAB. MATLAB. Signal processing -- Digital techniques. Signal processing -- Digital techniques. Electronic book.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11270599

Hidden Bibliographic Details
Varying Form of Title:	Decomposition, recovery, data-based actions
ISBN:	9789811025372 9811025371 9811025363 9789811025365 9789811025365
Digital file characteristics:	text file PDF
Notes:	Includes bibliographical references and index. Online resource; title from PDF title page (SpringerLink, viewed January 4, 2016).
Summary:	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.
Other form:	Printed edition: 9789811025365
Standard no.:	10.1007/978-981-10-2537-2

Table of Contents:

Part IV- Decomposition and Recovery. Images: Filter Banks
Wavelets
Image and 2D Signal Processing
Wavelet Variants for 2D Analysis
Part V
Data-based Actions: Adaptive Filtering, Modelling, Analysis, and Classification
Adaptive Filters and Observers
Experimental Modelling
Data Analysis and Classification.