Click Here to Download: https://ouo.io/QUGsA8 Learning Approaches in Signal Processing By: Wan-Chi Siu Publisher: Jenny Stanford Publishing Print ISBN: 9789814800501, 9814800503 eText ISBN: 9780429590320, 0429590326 Edition: 1st Copyright year: 2019 Format: EPUB Available from $ 99.98 USD SKU 9780429590320R90 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. Additional ISBNs 9789814800518, 9814800511
