In this section
@inproceedings{Hu:2015:10.1109/EUSIPCO.2015.7362830,
author = {Hu, M and Doclo, S and Sharma, D and Brookes, D and Naylor, P},
doi = {10.1109/EUSIPCO.2015.7362830},
pages = {2476--2480},
publisher = {IEEE},
title = {Noise Robust Blind System Identification Algorithms Based On A Rayleigh Quotient Cost Function},
url = {http://dx.doi.org/10.1109/EUSIPCO.2015.7362830},
year = {2015}
}
TY - CPAPER
AB - An important prerequisite for acoustic multi-channel equalization for speech dereverberation involves the identification of the acoustic channels between the source and the microphones. Blind System Identification (BSI) algorithms based on cross-relation error minimization are known to mis-converge in the presence of noise. Although algorithms have been proposed in the literature to improve robustness to noise, the estimated room impulse responses are usually constrained to have a flat magnitude spectrum. In this paper, noise robust algorithms based on a Rayleigh quotient cost function are proposed. Unlike the traditional algorithms, the estimated impulse responses are not always forced to have unit norm. Experimental results using simulated room impulse responses and several SNRs show that one of the proposed algorithms outperforms competing algorithms in terms of normalized projection misalignment.
AU - Hu,M
AU - Doclo,S
AU - Sharma,D
AU - Brookes,D
AU - Naylor,P
DO - 10.1109/EUSIPCO.2015.7362830
EP - 2480
PB - IEEE
PY - 2015///
SP - 2476
TI - Noise Robust Blind System Identification Algorithms Based On A Rayleigh Quotient Cost Function
UR - http://dx.doi.org/10.1109/EUSIPCO.2015.7362830
UR - http://hdl.handle.net/10044/1/34416
ER -
Speech and Audio Processing Lab
CSP Group, EEE Department
Imperial College London
Exhibition Road, London, SW7 2AZ, United Kingdom