Active noise control (ANC) is achieved by introducing a cancelling" antinoise" wave through
an appropriate array of secondary sources. These secondary sources are interconnected …

The problem of acoustic noise is becoming increasingly serious with the growing use of
industrial and medical equipment, appliances, and consumer electronics. Active noise …

This second edition of Adaptive Filters: Theory and Applications has been updated
throughout to reflect the latest developments in this field; notably an increased coverage …

Active control of sound and vibration is a relatively new and fast growing field of research
and application. The numbers of papers published on the subject have been more than …

An exhaustive review of adaptive signal processing schemes which are robust, sparsity-
aware and robust as well as sparsity-aware has been carried out in this paper. Conventional …

For many decades, hybrid devices have been used to connect 2-wire local circuits and 4-
wire long distance circuits in telephone lines. This leads to a weIl known problem, whereby …

Subband adaptive filtering is rapidly becoming one of the most effective techniques for
reducing computational complexity and improving the convergence rate of algorithms in …

The filtered-x least-mean-square (FxLMS) algorithm has been widely used for the active
noise control. A fundamental analysis of the convergence behavior of the FxLMS algorithm …

By adaptive signal processing, we mean, in general, adaptive? ltering. In-known
environments where we need to model, identify, or track time-varying channels, adaptive …

A unified view of algorithms for adaptive transversal FIR filtering and system identification
has been presented. Wiener filtering and stochastic approximation are the origins from …