Blind source separation (BSS) and independent component analysis (ICA) are generally
based on a wide class of unsupervised learning algorithms and they found potential …

Speech enhancement and separation are core problems in audio signal processing, with
commercial applications in devices as diverse as mobile phones, conference call systems …

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 …

This book provides an excellent reference for all professionals working in the area of array
signal processing and its applications in wireless communications. Wideband beamforming …

The machine recognition of speech spoken at a distance from the microphones, known as
far-field automatic speech recognition (ASR), has received a significant increase in attention …

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 …

We propose a new design criterion for subband adaptive filters (SAFs). The proposed
multiple-constraint optimization criterion is based on the principle of minimal disturbance …

US7991167B2 - Forming beams with nulls directed at noise sources - Google Patents
US7991167B2 - Forming beams with nulls directed at noise sources - Google Patents Forming …

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 …