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.
General
| Imprint: |
Academic Press Inc
|
| Country of origin: |
United Kingdom |
| Release date: |
September 2023 |
| First published: |
2024 |
| Editors: |
Paulo S.R. Diniz
|
| Dimensions: |
235 x 191mm (L x W) |
| Format: |
Paperback
|
| Pages: |
1234 |
| ISBN-13: |
978-0-323-91772-8 |
| Categories: |
Books >
Computing & IT >
General
|
| LSN: |
0-323-91772-0 |
| Barcode: |
9780323917728 |
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