Learning Approaches in Signal Processing (Hardcover)

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 and cutting-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.

General

Imprint:	Pan Stanford Publishing Pte Ltd
Country of origin:	Singapore
Series:	Jenny Stanford Series on Digital Signal Processing
Release date:	November 2018
First published:	2019
Editors:	Wan-Chi Siu • Lap-Pui Chau • Liang Wang • Tieniu Tang
Dimensions:	229 x 152 x 36mm (L x W x T)
Format:	Hardcover
Pages:	654
ISBN-13:	978-981-4800-50-1
Categories:	Books > Professional & Technical > Environmental engineering & technology > General Books > Computing & IT > General theory of computing > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General Promotions
LSN:	981-4800-50-3
Barcode:	9789814800501

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