Signal Processing and Machine Learning Theory |
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| Editor:
| Diniz, Paulo S. R. |
| Series title: | Academic Press Library in Signal Processing Ser. |
| ISBN: | 978-0-323-91772-8 |
| Publication Date: | Nov 2023 |
| Publisher: | Elsevier Science & Technology
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| Imprint: | Academic Press |
| Book Format: | Paperback |
| List Price: | USD $165.00 |
Book Description:
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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.
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.