Adaptive Partial-Update and Sparse System Identification

Detection-Guided Fast Affine Projection Channel Estimator for Speech Applications

In various adaptive estimation applications, such as acoustic echo cancellation within teleconferencing systems, the input signal is a highly correlated speech. This, in general, leads to extremely slow conver...

Authors: Yan Wu Jennifer, John Homer, Geert Rombouts and Marc Moonen

Adaptive Partial-Update and Sparse System Identification

Authors: Kutluyıl Doğançay and Patrick A Naylor

Time-Domain Convolutive Blind Source Separation Employing Selective-Tap Adaptive Algorithms

We investigate novel algorithms to improve the convergence and reduce the complexity of time-domain convolutive blind source separation (BSS) algorithms. First, we propose MMax partial update time-domain convo...

Authors: Qiongfeng Pan and Tyseer Aboulnasr

A Low Delay and Fast Converging Improved Proportionate Algorithm for Sparse System Identification

A sparse system identification algorithm for network echo cancellation is presented. This new approach exploits both the fast convergence of the improved proportionate normalized least mean square (IPNLMS) alg...

Authors: Andy W.H. Khong, Patrick A. Naylor and Jacob Benesty

Wavelet-Based MPNLMS Adaptive Algorithm for Network Echo Cancellation

The μ-law proportionate normalized least mean square (MPNLMS) algorithm has been proposed recently to solve the slow convergence problem of the proportionate normalized least mean square (PNLMS) algorithm afte...

Authors: Hongyang Deng and Miloš Doroslovački

Underdetermined Blind Audio Source Separation Using Modal Decomposition

This paper introduces new algorithms for the blind separation of audio sources using modal decomposition. Indeed, audio signals and, in particular, musical signals can be well approximated by a sum of damped s...

Authors: Abdeldjalil Aïssa-El-Bey, Karim Abed-Meraim and Yves Grenier

Efficient Multichannel NLMS Implementation for Acoustic Echo Cancellation

An acoustic echo cancellation structure with a single loudspeaker and multiple microphones is, from a system identification perspective, generally modelled as a single-input multiple-output system. Such a syst...

Authors: Fredric Lindstrom, Christian Schüldt and Ingvar Claesson

Set-Membership Proportionate Affine Projection Algorithms

Proportionate adaptive filters can improve the convergence speed for the identification of sparse systems as compared to their conventional counterparts. In this paper, the idea of proportionate adaptation is ...

Authors: Stefan Werner, José A Apolinário Jr. and Paulo S R Diniz

Analysis of Transient and Steady-State Behavior of a Multichannel Filtered-x Partial-Error Affine Projection Algorithm

The paper provides an analysis of the transient and the steady-state behavior of a filtered-x partial-error affine projection algorithm suitable for multichannel active noise control. The analysis relies on energ...

Authors: Alberto Carini and Giovanni L Sicuranza

Step Size Bound of the Sequential Partial Update LMS Algorithm with Periodic Input Signals

This paper derives an upper bound for the step size of the sequential partial update (PU) LMS adaptive algorithm when the input signal is a periodic reference consisting of several harmonics. The maximum step ...

Authors: Pedro Ramos, Roberto Torrubia, Ana López, Ana Salinas and Enrique Masgrau