Abstract
Language | English |
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Title of host publication | Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers, 1999 |
Place of Publication | New York |
Publisher | IEEE |
Pages | 903-907 |
Number of pages | 5 |
Volume | 2 |
ISBN (Print) | 0780357000 |
DOIs | |
Publication status | Published - Oct 1999 |
Event | 33rd Asilomar Conference on Signals, Systems, and Computers - Pacific Grove, CA, United States Duration: 24 Oct 1999 → 27 Oct 1999 |
Conference
Conference | 33rd Asilomar Conference on Signals, Systems, and Computers |
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Country | United States |
City | Pacific Grove, CA |
Period | 24/10/99 → 27/10/99 |
Fingerprint
Keywords
- acoustics
- adaptive filters
- array signal processing
- filter bank
- error analysis
- polyphase analysis
- subband adaptive filters
Cite this
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Polyphase analysis of subband adaptive filters. / Weiss, Stephan; Stewart, Robert; Harteneck, Moritz; Stenger, Alexander.
Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers, 1999. Vol. 2 New York : IEEE, 1999. p. 903-907.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - Polyphase analysis of subband adaptive filters
AU - Weiss, Stephan
AU - Stewart, Robert
AU - Harteneck, Moritz
AU - Stenger, Alexander
PY - 1999/10
Y1 - 1999/10
N2 - Based on a polyphase analysis of a subband adaptive filter (SAF) system, it is possible to calculate the optimum subband impulse responses to which the SAF system will converge. We give some insight into how these optimum impulse responses are calculated, and discuss two applications of our technique. Firstly, the performance limitations of an SAF system can be explored with respect to the minimum mean square error performance. Secondly, fullband impulse responses can be correctly projected into the subband domain, which is required for example for translating constraints for subband adaptive beamforming. Examples for both applications are presented.
AB - Based on a polyphase analysis of a subband adaptive filter (SAF) system, it is possible to calculate the optimum subband impulse responses to which the SAF system will converge. We give some insight into how these optimum impulse responses are calculated, and discuss two applications of our technique. Firstly, the performance limitations of an SAF system can be explored with respect to the minimum mean square error performance. Secondly, fullband impulse responses can be correctly projected into the subband domain, which is required for example for translating constraints for subband adaptive beamforming. Examples for both applications are presented.
KW - acoustics
KW - adaptive filters
KW - array signal processing
KW - filter bank
KW - error analysis
KW - polyphase analysis
KW - subband adaptive filters
U2 - 10.1109/ACSSC.1999.831840
DO - 10.1109/ACSSC.1999.831840
M3 - Conference contribution book
SN - 0780357000
VL - 2
SP - 903
EP - 907
BT - Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers, 1999
PB - IEEE
CY - New York
ER -