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Signal Processing and Machine Learning Theory

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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.Provides quick tutorial reviews of important and emerging topics of research in signal processing-based toolsPresents core principles in signal processing theory and shows their applicationsDiscusses some emerging signal processing tools applied in machine learning methodsReferences content on core principles, technologies, algorithms and applicationsIncludes references to journal articles and other literature on which to build further, more specific, and detailed knowledge
Request Code : ZLIBIO4079122
Categories:
Year:
2024
Publisher:
Academic Press
Language:
English
Pages:
1234
ISBN 10:
0323917720
ISBN 13:
9780323917728
ISBN:
0323917720,9780323917728

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