Learning Approaches in Signal Processing

1st Edition

Francis Ring, Wan-Chi Siu, Lap-Pui Chau, Liang Wang, Tieniu Tang

Pan Stanford
Published November 28, 2018
Reference - 654 Pages - 253 B/W Illustrations
ISBN 9789814800501 - CAT# K416493
Series: Pan Stanford Series on Digital Signal Processing

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Summary

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.

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