We propose a new normalized LMS (NLMS) algorithm, which of convergence and chosen according to: 0 < ~ 1 < 2 for congives satisfactory performance in certain applications in comaprison with convergence [2] and a is an appropriate positive number introduced ventional NLMS recursion. This new algorithm can be treated as a block based to avoid divide-by-zero like situations which may arise when 2 2...

Widrow’s interference canceller, adapted by the normalized LMS (NLMS), is a standard approach for separating signals from multiple speakers, for example from the driver (target) and the codriver (interferer) in a car. In practice, the adaptation must be carried out only when the interferer is dominant, i.e. only when some estimate of the signal-to-interference ratio (SIR) is below a certain thr...

A joint-optimization method is proposed for enhancing the behavior of the l1-normand sum-log norm-penalized NLMS algorithms to meet the requirements of sparse adaptive channel estimations. The improved channel estimation algorithms are realized by using a state stable model to implement a joint-optimization problem to give a proper trade-off between the convergence and the channel estimation be...

Convergence rate of an algorithm is an important factor that determines the deployment of such algorithm in a real time application. In this paper, we propose improved versions of normalized least mean square (NLMS) algorithm: single and multiple -variable step size normalized least mean square (VSSNLMS) algorithms for echo cancellation. The presented algorithms exhibit faster convergence rate ...

| This paper proposes modiications to the Kalman lter-based multiuser code-division multiple-access (CDMA) detector of 1] based on the normalised least mean square (NLMS) lter, the motivation being complexity reduction. The variable step size and information reuse concepts are investigated. The proposed detectors are compared with the conventional and Kalman lter detector in terms of complexity...

This note describes the DSP implementation of a full-duplex acoustic-echo cancellation (AEC) software. This software is based on the normalized least mean square (NLMS) algorithm. The algorithm includes active-channel and double-talk detection. This software was implemented on a TMS320C54x digital signal processor (DSP) in assembly language. It requires few resources in terms of million instruc...

Decision feedback equalizers are commonly employed to reduce the error caused by intersymbol interference. Here, an adaptive decision feedback equalizer is presented with a new adaptation algorithm. The algorithm follows a block-based approach of normalized least mean square (NLMS) algorithm with set-membership filtering and achieves a significantly less computational complexity over its conven...

The normalized least-mean-square (NLMS) adaptive filter is widely used in system identification. In this paper, we develop an optimized NLMS algorithm, in the context of a state variable model. The proposed algorithm follows a joint-optimization problem on both the normalized step-size and regularization parameters, in order to minimize the system misalignment. Consequently, it achieves a prope...

This paper provides analysis and real-time performance comparisons on modified application from two-microphone classic adaptive noise cancelling and beamforming methods. Experiments are processed by software implementation using LabVIEW in a real environment, which is typical indoor office with moderate reverberation condition. The speech performances are analyzed in time and frequency domains ...

In adaptive FIR lters, the least-mean-square (LMS) adaptive algorithm uses the a priori error signal to update the lter coeecients. In this paper , we study the forms and properties of a pos-teriori adaptive lter updates in a general context. We provide a technique by which the stability of an adaptive lter's coeecient update can be easily analyzed using the relationship between the a priori an...