Description

Description

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

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Paperback / softback by Paulo S.R. Diniz

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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... Read more

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    Publisher: Elsevier Science & Technology
    Publication Date: 29/11/2023
    ISBN13: 9780323917728, 978-0323917728
    ISBN10: 0323917720

    Number of Pages: 1234

    Non Fiction , Computing

    Description

    Description

    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.

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