Signal processing and machine learning theory

By:

Diniz, Paulo S.R. (Ed.)

Publication details: London: Academic Press, 2024.Description: xlix, 1185p.: pbk.: 23 cmISBN:

9780323917728

Subject(s):

DDC classification:

006.31 DIN

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. https://shop.elsevier.com/books/signal-processing-and-machine-learning-theory/diniz/978-0-323-91772-8

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Books	IIT Gandhinagar	General	006.31 DIN (Browse shelf(Opens below))	1	Available	035287

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

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