In order to increase the convergence rate of the normalized least mean square (NLMS)
algorithm for highly correlated signals, a family of adaptive decorrelation NLMS variants is …

The adaptive filtering theory has been extensively developed, and most of the proposed
algorithms work under the assumption of Euclidean space. However, in many applications …

In this paper, we develop a robust wideband adaptive beamforming algorithm for
microphone array based speech recognition. We develop a quadratic constraint based …

The convergence properties of an adaptive linear mean-square estimator that uses a
modified LMS algorithm are established for generally dependent processes. Bounds on the …

This transactions brief is concerned with designing adaptive filters subject to output
envelope constraints in the presence of bounded noise at the input channel. The bound on …

We address the problem of linear mean-square estimation with arbitrary convex constraints
for dependent processes. Two algorithms are proposed and their convergence is …

A method for avoiding self-oscillation in a four-wire loop in conjunction with echo
cancellation is effected with the aid of an adaptive filter (15). Self-oscillation is avoided for …

Compared with single channel speech processing, multi-microphone based speech
processing methods are capable of high interference suppression in noisy environments …

Envelope-constrained (EC) filtering is to design a finite impulse response filter such that the
output of the filter is guaranteed to lie within a prescribed output pulse mask with respect to a …

The problem of designing adaptive filters subject to output envelope constraints in the
presence of impulsive noise at the input channel is investigated. Median smoothing is …