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References
J. B. Allen, D. A. Berkley: Image method for efficiently simulating smallroom acoustics, J. Acoust. Soc. Amer., 65(4), 943-950, 1979.
T. Aboulnasr, K. Mayyas: Selective coefficient update of gradient-based adaptive algorithms, Proc. ICASSP ’97, 3, 1929-1932, Munich, Germany, 1997.
T. Aboulnasr, K Mayyas: MSE analysis of the M-Max NLMS adaptive algorithm, Proc. ICASSP ’98, 3, 1669-1672, Washington, DC, USA, 1998.
T. Aboulnasr, K. Mayyas: Complexity reduction of the NLMS algorithm via selective coefficient update, IEEE Trans. Signal Process., 47(5), 1421-1424, 1999.
J. Benesty, D. R. Morgan, M. M. Sondhi: A Better Understanding and an Improved Solution to the Specific Problems of Stereophonic Acoustic echo Cancellation, IEEE Trans. Speech Audio Process., T-SA-6(2), 156-165, 1998.
J. Benesty, D. R. Morgan, J. L. Hall, M. M. Sondhi: Stereophonic acoustic echo cancellation using nonlinear transformations and comb filtering, Proc. ICASSP ’98, 6, 3673-3676, Seattle, Washington, USA, 1998.
J. Benesty, T. Gänsler, D. R. Morgan, M. M. Sondhi, S. L. Gay: Advances in Network and Acoustic Echo Cancellation, Berlin, Germany: Springer, 2001.
J. Benesty, S. L. Gay: An improved PNLMS algorithm, Proc. ICASSP ’02, 1881-1884, Orlando, FL, USA, 2002.
N. J. Bershad, S. McLaughlin, C. F. N. Cowan: Performance comparison of RLS and LMS algorithms for tracking a first order Markov communications channel, Proc. IEEE Int. Symposium on Circuits and Systems, 1,266-270, New Orleans, LA, UAS, 1990.
C. Breining, P. Dreiseitel, E. Hänsler, A. Mader, B. Nitsch, H. Puder, T. Schertler, G. Schmidt, J. Tilp: Acoustic echo control: An application of very-high-order adaptive filter, IEEE Signal Process. Mag., 16(4), 42-69, 1999.
J. Cui, P. A. Naylor, D. T. Brown: An improved IPNLMS algorithm for echo cancellation in packet-switched networks, Proc. ICASSP ’04, 4 iv-141-iv-144, Montreal, Canada, 2004.
H. Deng, M. Doroslovacki: Modified PNLMS Adaptive Algorithm for Sparse Echo Path Estimation, Proc. Infor., Sciences, Systems, 1072-1077, Mar, 2004.
H. Deng, M. Doroslovacki: New Sparse Adaptive algorithms using par- tial update, Proc. ICASSP ’04, 845-848, Montreal, Canada, 2004.
H. Deng, M. Doroslovacki: Improving convergence of the PNLMS algo- rithm for sparse impulse response identification, IEEE Signal Process. Letters, 12(3), 181-184, 2005.
K. Dogancay, O. Tanrikulu: Selective-partial-update NLMS and affine projection algorithms for acoustic echo cancellation, Proc. ICASSP ’00, 1,448-451, Istanbul, Turkey, 2000.
K. Dogancay, O. Tanrikulu: Adaptive filtering algorithms with selective partial updates, IEEE Trans. Circuits Systems II, 48(8), 762-769, 2001.
S. C. Douglas: A family of normalized LMS algorithms, IEEE Signal Process. Letters, 1(3), 49-51, 1994.
S. C. Douglas: Analysis and implementation of the max-NLMS adaptive filter, Conference Record of the Twenty-Ninth Asilomar Conference on Signals, Systems and Computers, 1(30), 659-663, 1995.
S. C. Douglas: Adaptive filters employing partial updates, IEEE Trans. Circuits Syst., 44(3), 209-216, 1997.
P. Eneroth, S. L. Gay, T. Gänsler, J. Benesty: A real-time implemen- tation of a stereophonic acoustic echo canceller, IEEE Trans. Speech Audio Process., 9(5), 513-523, 2001.
N. T. Forsyth, J. A. Chambers, P. A. Naylor: An alternating fixed-point algorithm for stereophonic acoustic echo cancellation, Proc. Vision, Image and Signal Process. ’02, 149(1), 1-9, 2002.
S. L. Gay: An efficient, fast converging adaptive filter for network echo cancellation, Conference Record of the Thirty-Second Asilomar Conference on Signals, Systems and Computers, 394-398, 1998.
T. Gänsler, J. Benesty: An adaptive nonlinearity solution to the uniqueness problem of stereophonic echo cancellation, Proc. ICASSP ’02, 2, 1885-1888, Orlando, FL, USA, 2002.
A. Gilloire, V. Turbin: Using auditory properties to improve the be- haviour of stereophonic acoustic echo cancellers, Proc. ICASSP ’98, 6, 3681-3684, Seattle, WA, USA, 1998.
S. L. Gay, J. Benesty: Acoustic Signal Process. for Telecommunication, Boston, MA, USA: Kluwer Academic Publishers, 2001.
A. Gilloire, M. Vetterli: Adaptive filtering in subbands with critical sam- pling: Analysis, experiements, and application to acoustic echo cacnellation, IEEE Trans. Signal Process., 40(8), 1862-1875, 1992.
S. Gollamudi, S. Nagaraj, S. Kapoor, Y.-F. Huang: Set-membership filtering and a set-membership normalized LMS algorithm with an adaptive step-size, IEEE Signal Process. Letters, 5(5), 111-114, 1998.
G. C. Goodwin, K. S. Sin: Adaptive Filtering, Prediction and Control, Englewood Cliffs, NJ, USA: Prentice-Hall, 1984.
E. Hänsler: Hands-free telephones- joint control of echo cancellation and postfiltering, Signal Process., 80(11), 2295-2305, 2000.
E. Hänsler, G. Schmidt: Acoustic Echo and Noise Control: A Practical Approach, Hoboken, NJ, USA: Wiley, 2004.
S. Haykin: Adaptive Filter Theory, 4th ed., Englewood Cliffs, NJ, USA: Prentice Hall, 2002.
T. Hoya, Y. Loke, J. A. Chambers, P. A. Naylor: Application of the leaky extended LMS algorithm in stereophonic acoustic echo cancellation, Signal Process., 64, 87-91, 1998.
A. W. H. Khong, P. A. Naylor: Reducing inter-channel coherence in stereophonic acoustic echo cancellation using partial update adaptive filters, Proc. EUSIPCO ’04,, 405-408, Vienna, Austria, 2004.
A. W. H. Khong, P. A. Naylor: Selective-tap adaptive algorithms in the solution of the nonuniqueness problem for stereophonic acoustic echo cancellation, IEEE Signal Process. Letters, 12(4), 269-272, 2005.
D. E. Knuth: The Art of Computer Programming, Vol. 3, Sorting and Searching, Boston, MA, USA: Addison Wesley, 1973.
O. Macchi: Optimization of adaptive identification for time-varying fil- ters, IEEE Trans. Automat. Contr., 31(3), 283-287, 1986.
R. Martin, J. Altenhöner: Coupled adaptive filters for acoustic echo control and noise reduction, Proc. ICASSP ’95, 5, 3043-3046, Detriot, USA, 1995.
K. Mayyas, T. Aboulnasr, T. Eldos: A study of the robustness of the MMax NLMS adaptive algorithm, Proc. IEEE Int. Symposium on Circuits and Systems ’99, 3, 154-157, Orlando, FL, USA, 1999.
K. Mayyas: Stereophonic acoustic echo cancellation using lattice orthogonalization, IEEE Trans. Speech Audio Process., 10(7), 517-525, 2002.
J. Nagumo, A. Noda: A learning method for system identification, IEEE Trans. Automat. Contr., 12(3), 282-287, 1967.
P. A. Naylor, W. Sherliker: A short-sort M-Max NLMS partial update adaptive filter with applications to echo cancellation, Proc. ICASSP ’03, 5,373-376, Hong Kong, 2003.
P. A. Naylor, A. W. H. Khong: Affine projection and recursive least squares adaptive filters employing partial updates, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 1, 950-954, 2004.
P. A. Naylor, Jingjing Cui, Mike Brookes: Adaptive algorithms for sparse echo cancellation, Signal Process., to appear, 2005.
I. Pitas: Fast algorithms for running ordering and max/min calculation, IEEE Trans. Circuits Syst., 36(6), 795-804, 1989.
S. Shimauchi, Y. Haneda, S. Makino, Y. Kaneda: New configuration for a stereo echo canceller with nonlinear preprocessing, Proc. ICASSP ’98, 6,3685-3688, Seattle, Washington, USA, 1998.
T. Tangsangiumvisai, J. A. Chambers, A. G. Constantinides: Time- varying allpass filters using spectral-shaped noise for signal decorrelation in stereophonic acoustic echo cancellation, Proc. 14th Int. Conf. Digital Signal Process., 1273-1276, Santorini, Greece, 2002.
O. Tanrikulu, K. Dogancay: Selective-partial-update proportionate nor- malized least-mean-squares algorithm for network echo cancellation, Proc. ICASSP ’02, 2, 1889-1892, Orlando, FL, USA, 2002.
V. Turbin, A. Gilloire, P. Scalart: Comparison of three post-filtering algorithms for residual acoustic echo reduction, Proc. ICASSP ’97, 1, 307-310, Munich, Germany, 1997.
S. Werner, M. L. R. de Campos, P. S. R. Diniz: Partial Update NLMS algorithms with data-selective updating, IEEE Trans. Signal Process., 52(4),938-949, 2004.
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(2006). Selective-Tap Adaptive Algorithms for Echo Cancellation. In: Hänsler, E., Schmidt, G. (eds) Topics in Acoustic Echo and Noise Control. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-33213-8_6
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