Two novel adaptive filtering algorithms are proposed in this work. The algorithms greatly reduce the number of adaptation steps of the LMS algorithm by extrapolating the adaptive filtering coefficients. The extrapolation is done through the time constant and optimal coefficient estimations of the coefficient adaptation process. Simulation results for the system identification and correlation canceller loop show significant reduction of the adaptation steps. The algorithms can be applied to general orthogonal adaptive filters and least-square error optimization problems.
|Number of pages||6|
|State||Published - 1 Dec 1996|
|Event||Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2) - Perth, Aust|
Duration: 26 Nov 1996 → 29 Nov 1996
|Conference||Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2)|
|Period||26/11/96 → 29/11/96|