Adaptive system identification in the short-time fourier transform domain using cross-multiplicative transfer function approximation

IEEE Transactions on Audio, Speech and Language Processing

Volumn 16, Issue 1, 2008, Pages 162-173

  Avargel, Yekutiel ^a   Cohen, Israel ^a  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

Multiplicative transfer function (MTF); Short time Fourier transform (STFT); Subband adaptive filtering; System identification

Indexed keywords

ACOUSTIC ECHO CANCELLATIONS; ADAPTIVE SYSTEM IDENTIFICATIONS; ANALYTICAL RELATIONS; CROSS-TERMS; DATA LENGTHS; EXPLICIT EXPRESSIONS; MEAN-SQUARE ERRORS; MULTIPLICATIVE TRANSFER FUNCTION (MTF); NOISE LEVELS; SHORT-TIME FOURIER TRANSFORM (STFT); SUBBAND ADAPTIVE FILTERING; SUBBANDS; SYSTEM IDENTIFICATION; TRANSFER FUNCTION APPROXIMATIONS;

ADAPTIVE FILTERING; ADAPTIVE FILTERS; ADAPTIVE SYSTEMS; BLIND SOURCE SEPARATION; CONVERGENCE OF NUMERICAL METHODS; DATA COMMUNICATION SYSTEMS; ECHO SUPPRESSION; FUNCTIONS; LINEAR SYSTEMS; MODULATION; OPTICAL TRANSFER FUNCTION; TRANSFER FUNCTIONS;

FOURIER TRANSFORMS;

EID: 51449124190     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2007.910789     Document Type: Article

References (43)

1. Y. Avargel and I. Cohen, "System identification in the short-time Fourier transform domain with crossband filtering," IEEE Trans. Audio, Speech, Lang. Process., vol. 15, no. 4, pp. 1305-1319, May 2007.
2. 1. Cohen, "Relative transfer function identification using speech signals," IEEE Trans. Speech Audio Process., vol. 12, no. 5, pp. 451-459, Sep. 2004.
3. C. Faller and J. Chen, "Suppressing acoustic echo in a spectral envelope space," IEEE Trans. Speech Audio Process., vol. 13, no. 5, pp. 1048-1062, Sep. 2005.
4. C. Avendano, "Acoustic echo suppression in the STFT domain," in Proc. IEEE Workshop Applicat. Signal Process. Audio Acoust., New Paltz, NY, Oct. 2001, pp. 175-178.
5. P. Smaragdis, "Blind separation of convolved mixtures in the frequency domain," Neurocomputing, vol. 22, no. 1-3, pp. 21-34, Nov. 1998.
6. Y. Lu and J. M. Morris, "Gabor expansion for adaptive echo cancellation," IEEE Signal Process. Mag., vol. 16, no. 2, pp. 68-80, Mar. 1999.
7. X.-G. Xia, "System identification using chirp signals and time-variant filters in the joint time-frequency domain," IEEE Trans. Signal Process., vol. 45, no. 8, pp. 2072-2084, Aug. 1997.
8. A. Gilloire and M. Vetterli, "Adaptive filtering in subbands with critical sampling: Analysis, experiments, and application to acoustic echo cancellation," IEEE Trans. Signal Process., vol. 40, no. 8, pp. 1862-1875, Aug. 1992.
9. Y. Avargel and I. Cohen, "On multiplicative transfer function approximation in the short-time Fourier transform domain," IEEE Signal Process. Lett., vol. 14, no. 5, pp. 337-340, May 2007.
10. S. Haykin, Adaptive Filter Theory. Upper Saddle River, New Jersey: Prentice-Hall, 2002.
11. M. R. Portnoff, "Time-frequency representation of digital signals and systems based on short-time Fourier analysis," IEEE Trans. Acoust, Speech, Signal Process., vol. ASSP-28, no. 1, pp. 55-69, Feb. 1980. [12] C. Avendano, "Temporal processing of speech in a time-feature space," Ph.D. dissertation, Oregon Graduate Inst. Sci. Technol., Beaverton, Apr. 1997.
12. M. Dentino, J. M. McCool, and B. Widrow, "Adaptive filtering in the frequency domain," Proc. IEEE, vol. 66, no. 12, pp. 1658-1659, Dec. 1978.
13. D. Mansour and J. A. H. Gray, "Unconstrained frequency-domain adaptive filter," IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-30, no. 5, pp. 726-734, Oct. 1982.
14. P. C. W. Sommen, "Partitioned frequency domain adaptive filters," in Proc. 23rd Asilomar Conf. Signals, Syst., Comput., Pacific Grove, CA, Nov. 1989, pp. 677-68
15. J. J. Shynk, "Frequncy-domain and multirate adaptive filtering," IEEE Signal Process. Mag., vol. 9, no. 1, pp. 14-37, Jan. 1992.
16. Y. Ephraim and D. Malah, "Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator," IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-32, no. 6, pp. 1109-1121, Dec. 1984.
17. D. R. Brillinger, Time Series: Data Analysis and Theory. Philadelphia, PA: SIAM, 2001.
18. D. G. Manolakis, V. K. Ingle, and S. M. Kogon, Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering, and Array Processing. Boston, MA: McGraw-Hill, 2000.
19. G. H. Golub and C. F. Van Loan, Matrix Computations. Baltimore, MD: Johns Hopkins Univ. Press, 1996.
20. L. L. Horowitz and K. D. Senne, "Performance advantage of com plex LMS for controlling narrow-band adaptive arrays," IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-29, no. 3, pp. 722-736, Jun. 1981.
21. K. Mayyas, "Performance analysis of the deficient length LMS adaptive algorithm," IEEE Trans. Signal Process., vol. 53, no. 8, pp. 2727-2734, Aug. 2005.
22. L. Ljung and T. Soderstrom, Theory and Practice of Recursive Identification. Cambridge, MA: MIT Press, 1983.
23. F. D. Ridder, R. Pintelon, J. Schoukens, and D. P. Gillikin, "Modified AIC and MDL model selection criteria for short data records," IEEE Trans. Instrum. Meas., vol. 54, no. 1, pp. 144-150, Feb. 2005.
24. G. Schwarz, "Estimating the dimension of a model," Aran. Stat., vol. 6, no. 2, pp. 461-164, 1978.
25. P. StoicaandY. Selen, "Model order selection: A review of information criterion rules," IEEE Signal Process. Mag., vol. 21, no. 4, pp. 36-47, Jul. 2004.
26. G. C. Goodwin, M. Gevers, and B. Ninness, "Quantifying the error in estimated transfer functions with application to model order selection," IEEE Trans. Autom. Control, vol. 37, no. 7, pp. 913-928, Jul. 1992.
27. H. Akaike, "A new look at the statistical model identification, " IEEE Trans. Autom. Control, vol. AC-19, no. 6, pp. 716-723, Dec. 1974.
28. J. Rissanen, "Modeling by shortest data description," Automatica, vol. 14, no. 5, pp. 465-471, 1978.
29. J. Wexler and S. Raz, "Discrete Gabor expansions," Signal Process., vol. 21, pp. 207-220, Nov. 1990.
30. J. Benesty, T. Gansler, D. R. Morgan, T. Gdnsler, M. M. Sondhi, and S. L. Gay, Advances in Network and Acoustic Echo Cancellation. New York: Springer, 2001.
31. E. Hänsler and G. Schmidt, Acoustic Echo and Noise Control: A Practical Approach. New York: Wiley, 2004.
32. C. Breining, P. Dreiseitel, E. Hänsler, A. Mader, B. Nitsch, H. Puder, T. Schertler, G. Schmidt, and J. Tlip, "Acoustic echo control," IEEE Signal Pmcess. Mag., vol. 16, no. 4, pp. 42-69, Jul. 1999.
33. J. Benesty, D. R. Morgan, and J. H. Cho, "A new class of doubletalk detectors based on cross-correlation," IEEE Trans. Speech Audio Process., vol. 8, no. 2, pp. 168-172, Mar. 2000.
34. J. H. Cho, D. R. Morgan, and J. Benesty, "An objective technique for evaluating doubletalk detectors in acoustic echo cancelers," IEEE Trans. Speech Audio Pwcess., vol. 7, no. 6, pp. 718-724, Nov. 1999.
35. Y. Avargel, homepage. [Online]. Available: http://siglab.technion.ac.il/ ~yekutiel
36. A. Guerin, G. Faucon, and R. L. Bouquin-Jeannes, "Nonlinear acoustic echo cancellation based on Volterra filters," IEEE Trans. Speech Audio Process., vol. 11, no. 6, pp. 672-683, Nov. 2003.
37. A. Stenger and W. Kellermann, "Adaptation of a memoryless preprocessor for nonlinear acoustic echo cancelling," Signal Process., vol. 80, pp. 1747-1760, Sep. 2000.
38. I. Cohen, "Identification of speech source coupling between sensors in reverberant noisy environments," IEEE Signal Process. Lett, vol. 11, no. 7, pp. 613-616, Jul. 2004.
39. F. Riera-Palou, J. M. Noras, and D. G. M. Cruickshank, "Linear equalisers with dynamic and automatic length selection," Electron. Lett., vol. 37, no. 25, pp. 1553-1554, Dec. 2001.
40. R. C. Bilcu, P. Kuosmanen, and K. Egiazarian, "A new variable length LMS algorithm: Theoretical analysis and implementations," in Proc. 9th IEEE Int. Conf. Electron., Circuits, Syst., Sep. 2002, vol. 3, pp. 1031-1034.
41. Y. Gu, K. Tang, H. Cui, and W. Du, "Convergence analysis of a deficient-length LMS filter and optimal-length sequence to model exponential decay impulse response," IEEE Signal Process. Lett., vol. 10, no. 1, pp. 4-7, Jan. 2003.
42. Y. Gu, K. Tang, and H. Cui, "LMS algoridim with gradient descent filter length," IEEE Signal Process. Lett., vol. 11, no. 3, pp. 305-307, Mar. 2004.
43. Y. Gong and C. F. N. Cowan, "An LMS style variable tap-length algorithm for structure adaptation," IEEE Trans. Signal Process., vol. 53, no. 7, pp. 2400-2407, Jul. 2005.