Acoustic echo cancellation with reduced-rank adaptive interpolated filter based on parallel-branch diversity decimation

Masahiro Yukawa, Rodrigo C. De Lamare, Raimundo Sampaio-Neto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an efficient acoustic echo cancellation (AEC) scheme based on reduced-rank interpolated adaptive filtering with parallel decimation, motivated by diversity techniques developed in wireless communications. The proposed scheme jointly optimizes an interpolation filter, a decimator unit and a reduced-rank filter in such a way that the output error is minimized, leading to very substantial improvements of the mean squared error performance. With a practical choice of parameters in AEC, the total computational complexity of the proposed scheme is approximately half of the one of the NLMS algorithm. The numerical examples demonstrate that the proposed algorithm offers very significant reduction in mean squared error performance.

Original languageEnglish
Title of host publication2007 15th International Conference on Digital Signal Processing, DSP 2007
Pages39-42
Number of pages4
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 15th International Conference onDigital Signal Processing, DSP 2007 - Wales, United Kingdom
Duration: 2007 Jul 12007 Jul 4

Other

Other2007 15th International Conference onDigital Signal Processing, DSP 2007
CountryUnited Kingdom
CityWales
Period07/7/107/7/4

Fingerprint

Echo suppression
Adaptive filters
Acoustics
Adaptive filtering
Computational complexity
Interpolation
Communication

Keywords

  • Adaptive interpolation
  • Echo cancellation
  • Parallel-branch diversity
  • Reduced-rank adaptive filtering

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Yukawa, M., De Lamare, R. C., & Sampaio-Neto, R. (2007). Acoustic echo cancellation with reduced-rank adaptive interpolated filter based on parallel-branch diversity decimation. In 2007 15th International Conference on Digital Signal Processing, DSP 2007 (pp. 39-42). [4288513] https://doi.org/10.1109/ICDSP.2007.4288513

Acoustic echo cancellation with reduced-rank adaptive interpolated filter based on parallel-branch diversity decimation. / Yukawa, Masahiro; De Lamare, Rodrigo C.; Sampaio-Neto, Raimundo.

2007 15th International Conference on Digital Signal Processing, DSP 2007. 2007. p. 39-42 4288513.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yukawa, M, De Lamare, RC & Sampaio-Neto, R 2007, Acoustic echo cancellation with reduced-rank adaptive interpolated filter based on parallel-branch diversity decimation. in 2007 15th International Conference on Digital Signal Processing, DSP 2007., 4288513, pp. 39-42, 2007 15th International Conference onDigital Signal Processing, DSP 2007, Wales, United Kingdom, 07/7/1. https://doi.org/10.1109/ICDSP.2007.4288513
Yukawa M, De Lamare RC, Sampaio-Neto R. Acoustic echo cancellation with reduced-rank adaptive interpolated filter based on parallel-branch diversity decimation. In 2007 15th International Conference on Digital Signal Processing, DSP 2007. 2007. p. 39-42. 4288513 https://doi.org/10.1109/ICDSP.2007.4288513
Yukawa, Masahiro ; De Lamare, Rodrigo C. ; Sampaio-Neto, Raimundo. / Acoustic echo cancellation with reduced-rank adaptive interpolated filter based on parallel-branch diversity decimation. 2007 15th International Conference on Digital Signal Processing, DSP 2007. 2007. pp. 39-42
@inproceedings{cec66ba5e4814d01bc4e9dd7854e30e5,
title = "Acoustic echo cancellation with reduced-rank adaptive interpolated filter based on parallel-branch diversity decimation",
abstract = "This paper presents an efficient acoustic echo cancellation (AEC) scheme based on reduced-rank interpolated adaptive filtering with parallel decimation, motivated by diversity techniques developed in wireless communications. The proposed scheme jointly optimizes an interpolation filter, a decimator unit and a reduced-rank filter in such a way that the output error is minimized, leading to very substantial improvements of the mean squared error performance. With a practical choice of parameters in AEC, the total computational complexity of the proposed scheme is approximately half of the one of the NLMS algorithm. The numerical examples demonstrate that the proposed algorithm offers very significant reduction in mean squared error performance.",
keywords = "Adaptive interpolation, Echo cancellation, Parallel-branch diversity, Reduced-rank adaptive filtering",
author = "Masahiro Yukawa and {De Lamare}, {Rodrigo C.} and Raimundo Sampaio-Neto",
year = "2007",
doi = "10.1109/ICDSP.2007.4288513",
language = "English",
isbn = "1424408822",
pages = "39--42",
booktitle = "2007 15th International Conference on Digital Signal Processing, DSP 2007",

}

TY - GEN

T1 - Acoustic echo cancellation with reduced-rank adaptive interpolated filter based on parallel-branch diversity decimation

AU - Yukawa, Masahiro

AU - De Lamare, Rodrigo C.

AU - Sampaio-Neto, Raimundo

PY - 2007

Y1 - 2007

N2 - This paper presents an efficient acoustic echo cancellation (AEC) scheme based on reduced-rank interpolated adaptive filtering with parallel decimation, motivated by diversity techniques developed in wireless communications. The proposed scheme jointly optimizes an interpolation filter, a decimator unit and a reduced-rank filter in such a way that the output error is minimized, leading to very substantial improvements of the mean squared error performance. With a practical choice of parameters in AEC, the total computational complexity of the proposed scheme is approximately half of the one of the NLMS algorithm. The numerical examples demonstrate that the proposed algorithm offers very significant reduction in mean squared error performance.

AB - This paper presents an efficient acoustic echo cancellation (AEC) scheme based on reduced-rank interpolated adaptive filtering with parallel decimation, motivated by diversity techniques developed in wireless communications. The proposed scheme jointly optimizes an interpolation filter, a decimator unit and a reduced-rank filter in such a way that the output error is minimized, leading to very substantial improvements of the mean squared error performance. With a practical choice of parameters in AEC, the total computational complexity of the proposed scheme is approximately half of the one of the NLMS algorithm. The numerical examples demonstrate that the proposed algorithm offers very significant reduction in mean squared error performance.

KW - Adaptive interpolation

KW - Echo cancellation

KW - Parallel-branch diversity

KW - Reduced-rank adaptive filtering

UR - http://www.scopus.com/inward/record.url?scp=47649129846&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=47649129846&partnerID=8YFLogxK

U2 - 10.1109/ICDSP.2007.4288513

DO - 10.1109/ICDSP.2007.4288513

M3 - Conference contribution

AN - SCOPUS:47649129846

SN - 1424408822

SN - 9781424408825

SP - 39

EP - 42

BT - 2007 15th International Conference on Digital Signal Processing, DSP 2007

ER -