DocumentCode :
779789
Title :
System Identification in the Short-Time Fourier Transform Domain With Crossband Filtering
Author :
Avargel, Yekutiel ; Cohen, Israel
Author_Institution :
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa
Volume :
15
Issue :
4
fYear :
2007
fDate :
5/1/2007 12:00:00 AM
Firstpage :
1305
Lastpage :
1319
Abstract :
In this paper, we investigate the influence of crossband filters on a system identifier implemented in the short-time Fourier transform (STFT) domain. We derive analytical relations between the number of crossband filters, which are useful for system identification in the STFT domain, and the power and length of the input signal. We show that increasing the number of crossband filters not necessarily implies a lower steady-state mean-square error (mse) in subbands. The number of useful crossband filters depends on the power ratio between the input signal and the additive noise signal. Furthermore, it depends on the effective length of input signal employed for system identification, which is restricted to enable tracking capability of the algorithm during time variations in the system. As the power of input signal increases or as the time variations in the system become slower, a larger number of crossband filters may be utilized. The proposed subband approach is compared to the conventional fullband approach and to the commonly used subband approach that relies on multiplicative transfer function (MTF) approximation. The comparison is carried out in terms of mse performance and computational complexity. Experimental results verify the theoretical derivations and demonstrate the relations between the number of useful crossband filters and the power and length of the input signal
Keywords :
Fourier transforms; acoustic signal processing; echo suppression; filtering theory; loudspeakers; microphones; acoustic echo canceller; additive noise signal; crossband filtering; input signal; loudspeaker-enclosure-microphone system; multiplicative transfer function; short-time Fourier transform domain; system identification; Additive noise; Computational complexity; Filtering; Filters; Fourier transforms; Signal analysis; Signal processing; Steady-state; System identification; Transfer functions; Echo suppression; short-time Fourier transform (STFT); subband acoustic echo cancellers; subband filtering; system identification; time-frequency analysis;
fLanguage :
English
Journal_Title :
Audio, Speech, and Language Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1558-7916
Type :
jour
DOI :
10.1109/TASL.2006.889720
Filename :
4156182
Link To Document :
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