Graduate School and Research Center In communication systems

Seminar: Bayesian Adaptive Filtering Principles and Practical Approaches

Tayeb SADIKI - PhD Student - Communications Mobile

Mobile Communications

Date: March 10, 2005

Location: Eurecom - Institut Eurecom

While adaptive filtering is in principle intended for tracking non-stationary systems, most adaptive filtering algorithms have been designed for converging to a fixed unknown filter. When actually confronted with a non-stationary environment, they possess

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Bayesian Adaptive Filtering Principles and Practical Approaches

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