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Paper Detail

Paper:	AE-L2.2
Session:	Loudspeaker and Microphone Array Processing
Time:	Wednesday, May 17, 14:20 - 14:40
Presentation:	Lecture
Topic:	Audio and Electroacoustics: Loudspeaker and Microphone Array Signal Processing
Title:	PROPORTIONATE FREQUENCY DOMAIN ADAPTIVE ALGORITHMS FOR BLIND CHANNEL IDENTIFICATION
Authors:	Rehan Ahmad, Andy Khong, Patrick Naylor, Imperial College London, United Kingdom
Abstract:	We present fast-converging adaptive blind channel identification algorithms for acoustic room impulse responses. These new algorithms exploit the fast-convergence of the improved proportionate normalized least-mean-square (IPNLMS) algorithm and address the problem of delay inherent in frequency domain algorithms by employing the multi-delay filter (MDF) structure. Simulation results for both speech and white Gaussian noise show that the proposed algorithms outperform current frequency domain blind channel estimation algorithms.