A stereophonic echo canceler is proposed based on the Normalized LMS algorithm with orthogonal correction factors (NLMS-OCF). The echo canceler is modeled using a two-input single-output finite-impulse-response (FIR) structure. NLMSOCF updates the echo canceler coefficients based on multiple input vectors, while NLMS adapts the coefficients based on a single input vector. The proposed algorithm...

We investigate the convergence behavior of the normalized least mean square (NLMS) algorithm in the structure of a linear transversal filter. At the n-th iteration, the traditional NLMS transversal filter generates the n-th output signal by using linear convolution of the n-th input vector and the n-th coefficient vector. Based on this result, the n-th coefficient vector is updated to the n + 1...

Adaptive filter is an efficient method to filter ECG signal, because it does not need the signal statistical characteristics. In this paper we present a Gaussian & novel adaptive filter for removing the Baseline wander & power line interference from ECG signals based on recursive least mean square (RLMS) algorithm & Normalized least mean square (NLMS) algorithm. These algorithms are derived bas...

This paper studies the mean and mean square convergence behaviors of the normalized least mean square (NLMS) algorithm with Gaussian inputs and additive white Gaussian noise. Using the Price’s theorem and the framework proposed by Bershad in IEEE Transactions on Acoustics, Speech, and Signal Processing (1986, 1987), new expressions for the excess mean square error, stability bound and decoupled...

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...