Description: Learning Approaches in Signal Processing, Hardcover by Siu, Wan-Chi, . (EDT); Chau, Lap-Pui, . (EDT); Wang, Liang, . (EDT); Tang, Tieniu, . (EDT), ISBN 9814800503, ISBN-13 9789814800501, Like New Used, Free shipping in the US 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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Book Title: Learning Approaches in Signal Processing
Number of Pages: 644 Pages
Language: English
Publication Name: Learning Approaches in Signal Processing
Publisher: Pan Stanford Publishing
Subject: Systems Architecture / General, Machine Theory, Signals & Signal Processing, Software Development & Engineering / Systems Analysis & Design
Publication Year: 2018
Type: Textbook
Author: Francis Ring
Item Length: 9 in
Subject Area: Computers, Technology & Engineering
Item Width: 6 in
Series: Pan Stanford Series on Digital Signal Processing Ser.
Format: Hardcover
