Adaptively controlled filter

Details Adaptively controlled filter Adaptively controlled filter

1996-01-31

1998-07-21

Mai, Tan V.

Boots, shoes, and leggings

G06F 1710

Patent

active

057843040

ABSTRACT:
An rms value of a sum signal series x=en+vn calculated by adding a noise series to an error signal series of a known signal series and an unknown signal series, is calculated by an rms calculator. By means of an amplitude controller, x is output as is when .linevert split.x.linevert split. is smaller than a threshold value A proportional to the rms value. When .linevert split.x.linevert split. is greater than the threshold value A, a product signal calculated by multiplying the polarity of x with the threshold value is output. Utilizing the output of the amplitude controller, respective tap weights of filter is corrected to generate be tap weights Ck.sup.(n). By this, switching control between a probability gradient LMS algorithm (LA) and a probability gradient sign algorithm (SA) can be performed smoothly. Thus, an adaptively controlled filter having an advantage of small residual error and fast convergence of LA and an advantage of satisfactory strength against disturbance, such as burst noise or so forth of SA, can be obtained.

REFERENCES:
Seung Chan Bang et al., "A Robust Adaptive Algorithm and Its Performance Analysis with Contaminated-Gaussian Noise", Proceedings of the International Workshop on Intelligent Signal Processing and Communication Systems, Oct. 5-7, 1994, pp. 295-300.
C.P. Kwong, "Performance and design of the dual sign algorithm with correlated input data," 8094f IEE Proceedings, vol. 136, Pt. F, No. 6, Dec. 1989, pp. 269-275.
Jose M.P. Borrallo et al., "Convergence analysis of stochastic gradient adaptive algorithms for arbitrary error surfaces," Signal Processing VI, Theories and Applications (1992), pp. 1073-1076.

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