£113.00

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

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Description

Improve your understanding of advanced signal processing with Adaptive Filtering Under Minimum Mean p-Power Error Criterion. While the standard minimum mean square error (MMSE) criterion is widely used, it is only optimal for Gaussian distributed signals. This book addresses the limitations of MMSE by exploring alternative optimization criteria for non-Gaussian environments. Adaptive filters offer significant performance advantages over fixed filters when dealing with time-varying and unknown statistics. This text covers essential applications across multiple engineering disciplines, including communications, signal processing, seismology, mechanical design, and control engineering. It provides a technical deep dive into how p-power error criteria can offer better solutions in complex environments where standard MMSE methods fall short.

Key Features

Explores advanced optimization criteria beyond the standard minimum mean square error (MMSE) approach.

Addresses the limitations of MMSE in non-Gaussian distributed signal environments.

Covers essential applications in communications and signal processing engineering.

Provides technical insights for seismology, mechanical design, and control engineering.

Discusses the benefits of adaptive filters over fixed filters in time-varying environments.

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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