The wireless network highly affected by the interference in the spectrum which reduces the throughput of the network. In order to reduce the problem going for the beamforming technology. In this paper we suggest different training sequence algorithms like Recursive Least Squares (RLS) and Least Mean Squares (LMS) are analysed and compared. The simulation is based on the single user networks whi...

We extend the use of the least squares method to develop a recursive algorithm for the design of adaptive transversal filters such that, given the least-square estimate of a vector of a filter at iteration, we may compute the updated estimate of this vector at iteration upon the arrival of new data. In this paper, we propose a new tap-weight-updated RLS algorithm for an adaptive transversal fil...

This article describes a parallel algorithm for solving the Recursive Least Squares (RLS) problem. It is based on a variant of the Kalman Filter named the square root and extended version Information Filter. This algorithm is suitable to be implemented as either a distributed memory or a shared memory or a mixed parallel algorithm and is oriented to be used in real time applications.

This paper proposes an identification scheme for a complex liquid effluent incinerator process. This scheme is developed to obtain a MIMO (Multiple Input Single Output) TS (Takagi-Sugeno) fuzzy model where the modified Gath Geva clustering algorithm is used to determine the antecedent part as the consequent parameters are estimated by RLS (Recursive Least Square) algorithm.

We have designed and simulated an adaptive line enhancer system for conferencing. This system is based upon a leastmean-square (LMS) and recursive adaptive algorithm (RLS) Performance of ALE is compared for LMS&RLS algorithms.

For demand of high data rates, enhanced system capacity and coverage, ITU made proposal for the standardization of next generation wireless communication systems, known as IMTAdvanced. To achieve these targets, a priori knowledge of the channel is required at the transmitter side. In this paper, three adaptive channel estimation techniques: Least Mean Square (LMS), Recursive Least Square (RLS) ...

The aim of the Speech Enhancement system is to improve the quality of noisy speech signal. This paper emphasize on enhancement of noisy speech by using Affine Projection Algorithm (APA) and Kernel Affine Projection Algorithm (KAPA). Noise is present everywhere in the environment, So Kernel adaptive filters are used to enhance noisy speech signal and shows the good improvement in increasing the ...

In this paper, we present new version of numerically stable fast recursive least squares (NS-FRLS) algorithm. This new version is obtained by using some redundant formulae of the fast recursive least squares (FRLS) algorithms. Numerical stabilization is achieved by using a propagation model of first order of the numerical errors. A theoretical justification for this version is presented by form...

An adaptive minimummean-square error (MMSE) array receiver based on the fuzzy-logic recursive least-squares (RLS) algorithm is developed for asynchronous DS-CDMA interference suppression in the presence of frequency-selective multipath fading. This receiver employs a fuzzy-logic control mechanism to perform the nonlinear mapping of the squared error and squared error variation, denoted by (e2,Δ...