Learning Approaches in Signal Processing (Pan Stanford Series on Digital Signal Processing)
By: and and and
Sign Up Now!
Already a Member? Log In
You must be logged into UK education collection to access this title.
Learn about membership options,
or view our freely available titles.
- 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.
- Copyright:
- 2019
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 654 Pages
- ISBN-13:
- 9780429590320
- Related ISBNs:
- 9789814800501, 9780429061141
- Publisher:
- Jenny Stanford Publishing
- Date of Addition:
- 09/10/23
- Copyrighted By:
- Pan Stanford
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Wan-Chi Siu
- Edited by:
- Lap-Pui Chau
- Edited by:
- Liang Wang
- Edited by:
- Tieniu Tang
Reviews
Other Books
- by Liang Wang
- by Wan-Chi Siu
- by Lap-Pui Chau
- by Tieniu Tang
- in Nonfiction
- in Computers and Internet
- in Technology