Learning Approaches in Signal Processing

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Synopsis

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.

Book details

Series:
Pan Stanford Series on Digital Signal Processing
Author:
Liang Wang, Wan-Chi Siu, Lap-Pui Chau, Tieniu Tang
ISBN:
9780429590320
Related ISBNs:
9789814800501, 9780429061141
Publisher:
Jenny Stanford Publishing
Pages:
654
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2023-09-10
Usage restrictions:
Copyright
Copyright date:
2019
Copyright by:
Pan Stanford 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Nonfiction, Technology