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Learning approaches in signal processing

Siu, Wan-Chi.

Learning approaches in signal processing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Learning approaches in signal processingedited by Wan-Chi Siu ... [et al.].
other author:	Siu, Wan-Chi.
Published:	Singapore :Pan Stanford Publishing,c2018.
Description:	1 online resource (678 p.) :ill.
Subject:	Machine learning.
Online resource:	https://www.taylorfrancis.com/books/9780429061141
ISBN:	9780429061141$q(electronic bk. ;$qPDF)

Learning approaches in signal processing
Learning approaches in signal processing[electronic resource] /edited by Wan-Chi Siu ... [et al.]. - 1st ed. - Singapore :Pan Stanford Publishing,c2018. - 1 online resource (678 p.) :ill. - Pan Stanford series on digital signal processing ;v. 2. - Pan Stanford series on digital signal processing ;v. 2..

Includes bibliographical references and index.

Coupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security, and bio-informatics applications has witnessed explosive growth. This has been made possible via fast algorithms on data, speech, image, and video processing with advanced GPU technology. This book presents an up-to-date tutorial and overview on learning technologies such as random forests, sparsity, and low-rank matrix estimation andcutting-edge visual/signal processing techniques, including face recognition, Kalman filtering, and multirate DSP. It discusses the applications that make use of deep learning, convolutional neural networks, random forests, etc. The applications include super-resolution imaging, fringe projection profilometry, human activities detection/capture, gesture recognition, spoken language processing, cooperative networks, bioinformatics, DNA, and healthcare.

ISBN: 9780429061141$q(electronic bk. ;$qPDF)Subjects--Topical Terms:

188639
Machine learning.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Learning approaches in signal processing
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020 $z 9789814800518$q(Paperback)
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050 4 $a Q325.5
082 0 4 $a 006.31 $2 23
245 0 0 $a Learning approaches in signal processing $h [electronic resource] / $c edited by Wan-Chi Siu ... [et al.].
250 $a 1st ed.
260 $a Singapore : $b Pan Stanford Publishing, $c c2018.
300 $a 1 online resource (678 p.) : $b ill.
490 1 $a Pan Stanford series on digital signal processing ; $v v. 2
504 $a Includes bibliographical references and index.
520 3 $a Coupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security, and bio-informatics applications has witnessed explosive growth. This has been made possible via fast algorithms on data, speech, image, and video processing with advanced GPU technology. This book presents an up-to-date tutorial and overview on learning technologies such as random forests, sparsity, and low-rank matrix estimation andcutting-edge visual/signal processing techniques, including face recognition, Kalman filtering, and multirate DSP. It discusses the applications that make use of deep learning, convolutional neural networks, random forests, etc. The applications include super-resolution imaging, fringe projection profilometry, human activities detection/capture, gesture recognition, spoken language processing, cooperative networks, bioinformatics, DNA, and healthcare.
588 $a Description based on print version record.
650 0 $a Machine learning. $3 188639
650 0 $a Signal processing. $3 182382
700 1 $a Siu, Wan-Chi. $3 873241
830 0 $a Pan Stanford series on digital signal processing ; $v v. 2. $3 873242
856 4 0 $u https://www.taylorfrancis.com/books/9780429061141