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  • Information Theoretic Learning-based Filter

    Algorithms, Analysis and Applications

    Series series Engineering (R0)
    This book provides a comprehensive and in-depth exploration of adaptive filtering algorithms based on the Information Theoretic Learning (ITL). As a powerful alternative to traditional second-order statistical methods, ITL-based adaptive filtering algorithms are particularly effective in dealing with non-Gaussian noise. The book systematically introduces core ITL criteria such as minimum error ... Read more

    $152.09 USD