Signal processing and machine learning theory
Diniz, Paulo S.R. (Ed.)
Signal processing and machine learning theory - London: Academic Press, 2024. - xlix, 1185p.: pbk.: 23 cm.
Includes Bibliographical References and Index
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.
https://shop.elsevier.com/books/signal-processing-and-machine-learning-theory/diniz/978-0-323-91772-8
9780323917728
Computer Science
Machine Learning Theory
Random Signals
Discrete-time Signals
Digital filter Structures
006.31 DIN
Signal processing and machine learning theory - London: Academic Press, 2024. - xlix, 1185p.: pbk.: 23 cm.
Includes Bibliographical References and Index
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.
https://shop.elsevier.com/books/signal-processing-and-machine-learning-theory/diniz/978-0-323-91772-8
9780323917728
Computer Science
Machine Learning Theory
Random Signals
Discrete-time Signals
Digital filter Structures
006.31 DIN
