Signal Processing and Machine Learning Theory
$388.21
- Paperback
1234 pages
- Release Date
19 November 2023
Summary
Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods and techniques of essential and advanced signal processing theory. These theories and tools are the driving engines of many current and emerging research topics and technologies, such as machine learning, autonomous vehicles, the internet of things, future wireless communications, medical imaging, etc.
Book Details
| ISBN-13: | 9780323917728 |
|---|---|
| ISBN-10: | 0323917720 |
| Author: | Paulo S.R. Diniz |
| Publisher: | Elsevier Science & Technology |
| Imprint: | Academic Press Inc |
| Format: | Paperback |
| Number of Pages: | 1234 |
| Release Date: | 19 November 2023 |
| Weight: | 1.84kg |
| Dimensions: | 235mm x 191mm |
| Series: | Academic Press Library in Signal Processing |
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About The Author
Paulo S.R. Diniz
Paulo S. R. Diniz’s teaching and research interests are in analog and digital signal processing, adaptive signal processing, digital communications, wireless communications, multirate systems, stochastic processes, and electronic circuits. He has published over 300 refereed papers in some of these areas and wrote two textbooks and a research book. He has received awards for best papers and technical achievements.
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