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Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing

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Paperback / softback
21 May 2026
210 Pages
RRP: $117.99
$117.00
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The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book:

  • Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signals
  • Presents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interface
  • Highlights the latest machine learning and deep learning methods for neural signal processing
  • Discusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysis
  • Showcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniques

It is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering.

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    Book Details
    ISBN-13
    9781032767659
    Author
    Rajesh Kumar Tripathy
    Publisher
    CRC Press
    Published
    21 May 2026
    Format
    Paperback / softback
    Pages
    210

    This product hasn't received any reviews yet. Be the first to review this product!

    RRP: $117.99
    $117.00
    Hurry up! Current stock:

    Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing

    RRP: $117.99
    $117.00

    Description

    The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book:

    • Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signals
    • Presents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interface
    • Highlights the latest machine learning and deep learning methods for neural signal processing
    • Discusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysis
    • Showcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniques

    It is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering.

    You Can Find This Book In

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