Telephonic communications – Echo cancellation or suppression – Using digital signal processing
Reexamination Certificate
2005-06-21
2005-06-21
Kuntz, Curtis (Department: 2643)
Telephonic communications
Echo cancellation or suppression
Using digital signal processing
C379S406010, C379S406060
Reexamination Certificate
active
06909782
ABSTRACT:
A first adaptive filter having a first filter length estimates a channel weight vector of an echo channel using an affine projection (AP) update. The echo channel receives a send input sequence and a receive input sequence. The echo channel has a plurality of sparse multi-path channels. A delay estimator determines a plurality of delays in the echo channel using the estimated channel weight vector. A second adaptive filter estimates a plurality of short weight vectors using the AP update and the plurality of delays. The short weight vectors correspond to the sparse multi-path channels. Each of the short weight vectors has a short filter length.
REFERENCES:
patent: 6137881 (2000-10-01), Oh et al.
patent: 6198819 (2001-03-01), Farrell et al.
patent: 6201866 (2001-03-01), Ariyama et al.
patent: 6246760 (2001-06-01), Makino et al.
Sundar G. Sankaran, A.A. (louis) Beex, ‘Convergence Analysis Results For the Class of Affine Projection Algorithms’, May 1999, IEEE International Symposium on Circuits and Systems, vol. III, pp. 251-254.
Shigeji Ikeda and Akihiko Sugiyama, ‘A Fast Convergance Algorithm for Sparse-Tap Adaptive FIR filters for an unknown Number of Multiple Echoes’, 1994, IEEE,pp. III-41 to III-44.
Technical Memorandum #1, Dr. Neil Bershad, Jun. 12, 2000.
An Adaptive Filtering Algorithm Using an Orthogonal Projection to an Affine Subspace and its Properties, by Kazuhiko Ozeki et al., NHK Technical Research Laboratories, Tokyo, Japan, 1984, pp. 19-27.
Underdetermined Growing and Sliding Window Covariance Fast Transversal Filter RLS Algorithms, by Dirk Slock, Signal Processing VI: Theories and Applications, Valbonne, France, 1992, pp. 1169-1172.
Convergance Analysis Results for the Class of Affine Projection Algorithms, Sundar G. Sankaran et al., Systems Group-DSP Research Laboratory, Blacksburg, VA, 1999 IEEE, pp. III-251—III-254.
On a Class of Computationally Efficient, Rapidly Converging, Generalized NLMS Algorithms, by Dennis R. Morgan et al., IEEE Signal Processing Letters, vol. 3, No. 8, Aug. 1996, pp. 245-247.
Fast Generalized Affine Projection Algorithm, by Sundar G. Sankaran et al., International Journal of Adaptive Control and Signal Processing, 2000, pp. 623-641.
A Stochastic Analysis of the Affine Projection Algorithm for Gaussian Autoregressive Inputs, by N. Bershad et al, ICASSP, 2001.
A Simplified Stochastick Analysis of the Affine Projection Algorithm for Gaussian Autoregressive Inputs, by N. Bershad, Nov. 2000, pp. 1-18.
Bershad Neil
Bist Anurag
Hsieh Stan
Jamal Alexander
Kuntz Curtis
Pedersen-Giles Alan
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