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    Adaptive Detection for Multichannel Signals in Non-Ideal Environments

    Adaptive Detection for Multichannel Signals in Non-Ideal Environments by Wang, Zeyu; Liu, Weijian; Chen, Hongmeng;

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      • Publisher's listprice GBP 81.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        41 495 Ft (39 519 Ft + 5% VAT)
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    41 495 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1
    • Publisher CRC Press
    • Date of Publication 14 June 2024

    • ISBN 9781032762920
    • Binding Hardback
    • No. of pages194 pages
    • Size 234x156 mm
    • Weight 453 g
    • Language English
    • Illustrations 47 Illustrations, black & white; 1 Halftones, black & white; 46 Line drawings, black & white; 1 Tables, black & white
    • 620

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    Short description:

    This book systematically presents adaptive multichannel signal detection in three types of non-ideal environments, including sample-starved scenario, signal mismatch scenario, and noise plus subspace interference environment. 

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    Long description:

    This book systematically presents adaptive multichannel signal detection in three types of non-ideal environments, including sample-starved scenarios, signal mismatch scenarios, and noise plus subspace interference environments.


    The authors provide definitions of key concepts, detailed derivations of adaptive multichannel signal detectors, and specific examples for each non-ideal environment. In addition, the possible future trend of adaptive detection methods is discussed, as well as two further research points ? namely, the adaptive detection algorithms based on information geometry, and the hybrid approaches that combine adaptive detection algorithms with machine learning algorithms.


    The book will be of interest to researchers, advanced undergraduates, and graduate students in sonar, radar signal processing, and communications engineering.

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    Table of Contents:

    1. Overview for Adaptive Detection  2. Adaptive Detectors in Sample-Starved Environment  3. Adaptive Selective Detectors for Mismatched Signals in the Presence of Signal Mismatch  4. Adaptive Robust Detector in the Presence of Signal Mismatch  5. Tunable Adaptive Detector for Mismatched Signals  6. Adaptive Detection of a Subspace Signal in Interference  7. Future Trends

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