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ICASSP
2010
IEEE
13 years 4 months ago
Performance analysis for blind identification of acoustic channels
: © Performance Analysis for Blind Identification of Acoustic Channels Majid Fozunbal HP Laboratories HPL-2009-333 Audio, acoustic systems, blind identification, dereverberation, ...
Majid Fozunbal
ICASSP
2009
IEEE
13 years 11 months ago
Blind system identification for speech dereverberation with Forced Spectral Diversity
The common zeros problem for blind system identification (BSI) is well known. It degrades the performance of classic BSI algorithms and therefore imposes the limit on the perform...
Xiang Lin, Andy W. H. Khong, Patrick A. Naylor
SIGPRO
2010
145views more  SIGPRO 2010»
12 years 11 months ago
Blind identification of MISO-FIR channels
In this paper, we address the problem of determining the order of MISO channels by means of a series of hypothesis tests based on scalar statistics. Using estimated 4th-order outp...
Carlos Estêvão R. Fernandes, Pierre C...
ICASSP
2011
IEEE
12 years 8 months ago
Relative proportionate NLMS: Improving convergence for acoustic channel identification
It is known that the proportionate normalized least mean square (PNLMS) algorithm outperforms traditional normalized least mean square(NLMS) algorithm, in terms of fast initial co...
Tao Yu, John H. L. Hansen
ICASSP
2010
IEEE
13 years 4 months ago
An online quasi-Newton algorithm for blind SIMO identification
In the last decade various time- and frequency-domain algorithms were derived to blindly identify acoustic systems. One of these algorithms is the multichannel Newton (MCN) algori...
Emanuel A. P. Habets, Patrick A. Naylor