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Chapman and Hall/CRC Adaptive Filtering Under Minimum Mean p-Power Error Criterion

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Description

Adaptive filtering remains essential in engineering for improving performance in time-varying and unknown statistics environments. This comprehensive work by Chapman and Hall/CRC explores advanced filtering techniques beyond the traditional minimum mean square error (MMSE) criterion, which assumes Gaussian-distributed signals. The book addresses the limitations of conventional approaches and presents optimal solutions for non-Gaussian signal processing across communications, signal processing, seismology, mechanical design, and control engineering applications. Ideal for engineers and researchers seeking to understand modern adaptive filtering methods that deliver superior results when standard MMSE assumptions fail to hold.

Key Features

Chapman and Hall/CRC publishes this advanced text on adaptive filtering theory and practical applications.

Explores minimum mean p-power error criterion as an alternative to traditional MMSE optimization methods.

Covers adaptive filtering applications across communications, signal processing, seismology, mechanical design, and control engineering.

Addresses performance limitations of fixed filters in time-varying and unknown statistics environments.

Provides optimal solutions for filtering non-Gaussian distributed signals where standard approaches prove insufficient.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
26 June 2024
Listed Since
27 October 2023

Barcode

No barcode data available

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