This paper proposes a new adaptive algorithm of the FIR type digital filter for an acoustic echo canceller and similar application fields. Unlike an echo canceller for line, an acoustic echo canceller requires a large number of taps, and it must work appropriately while it is driven by colored input signal. By controlling the filter tap length and updating filter coefficients multiple times during a single sampling interval, the proposed algorithm improves the convergence characteristics of adaptation even if colored input signal is introduced. This algorithm is maned VT-LMS after variable tap length LMS. The results of simulation show the effectiveness of the proposed algorithm not only for white noise but also for colored input signal such as speech. The VT-LMS algorithm has better convergence characteristice with very little extra computational load compared to the conventional algorithm.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Tsuyoshi USAGAWA, Hideki MATSUO, Yuji MORITA, Masanao EBATA, "A New Adaptive Algorithm Focused on the Convergence Characteristics by Colored Input Signal: Variable Tap Length KMS" in IEICE TRANSACTIONS on Fundamentals,
vol. E75-A, no. 11, pp. 1493-1499, November 1992, doi: .
Abstract: This paper proposes a new adaptive algorithm of the FIR type digital filter for an acoustic echo canceller and similar application fields. Unlike an echo canceller for line, an acoustic echo canceller requires a large number of taps, and it must work appropriately while it is driven by colored input signal. By controlling the filter tap length and updating filter coefficients multiple times during a single sampling interval, the proposed algorithm improves the convergence characteristics of adaptation even if colored input signal is introduced. This algorithm is maned VT-LMS after variable tap length LMS. The results of simulation show the effectiveness of the proposed algorithm not only for white noise but also for colored input signal such as speech. The VT-LMS algorithm has better convergence characteristice with very little extra computational load compared to the conventional algorithm.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e75-a_11_1493/_p
Copy
@ARTICLE{e75-a_11_1493,
author={Tsuyoshi USAGAWA, Hideki MATSUO, Yuji MORITA, Masanao EBATA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A New Adaptive Algorithm Focused on the Convergence Characteristics by Colored Input Signal: Variable Tap Length KMS},
year={1992},
volume={E75-A},
number={11},
pages={1493-1499},
abstract={This paper proposes a new adaptive algorithm of the FIR type digital filter for an acoustic echo canceller and similar application fields. Unlike an echo canceller for line, an acoustic echo canceller requires a large number of taps, and it must work appropriately while it is driven by colored input signal. By controlling the filter tap length and updating filter coefficients multiple times during a single sampling interval, the proposed algorithm improves the convergence characteristics of adaptation even if colored input signal is introduced. This algorithm is maned VT-LMS after variable tap length LMS. The results of simulation show the effectiveness of the proposed algorithm not only for white noise but also for colored input signal such as speech. The VT-LMS algorithm has better convergence characteristice with very little extra computational load compared to the conventional algorithm.},
keywords={},
doi={},
ISSN={},
month={November},}
Copy
TY - JOUR
TI - A New Adaptive Algorithm Focused on the Convergence Characteristics by Colored Input Signal: Variable Tap Length KMS
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1493
EP - 1499
AU - Tsuyoshi USAGAWA
AU - Hideki MATSUO
AU - Yuji MORITA
AU - Masanao EBATA
PY - 1992
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E75-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 1992
AB - This paper proposes a new adaptive algorithm of the FIR type digital filter for an acoustic echo canceller and similar application fields. Unlike an echo canceller for line, an acoustic echo canceller requires a large number of taps, and it must work appropriately while it is driven by colored input signal. By controlling the filter tap length and updating filter coefficients multiple times during a single sampling interval, the proposed algorithm improves the convergence characteristics of adaptation even if colored input signal is introduced. This algorithm is maned VT-LMS after variable tap length LMS. The results of simulation show the effectiveness of the proposed algorithm not only for white noise but also for colored input signal such as speech. The VT-LMS algorithm has better convergence characteristice with very little extra computational load compared to the conventional algorithm.
ER -