£172.87

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£173 today · previous high £173 · all-time low £173

Taylor & Francis Learning Approaches in Signal Processing (Jenny Stanford Series on Digital Signal Processing)

Amazon

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Description

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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
28 November 2018
Listed Since
31 October 2018

Barcode

No barcode data available

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