This paper proposes the model for Recursive Least Square (RLS) algorithm and Fast Transversal Recursive Least Square (FxT-RLS) Algorithm for effective noise cancellation in acoustics and speech signal processing. The designed model gives the results in a noise free signal as output for RLS and FxT-RLS Algorithm. The filter used here is adaptive filter and the algorithm used is Recursive Least S...

Adaptive smart antenna arrays are used for cellular communication. This paper presents a comparative study of beamforming techniques for adaptive smart antenna using hybrid algorithms like Simple Matrix Inversion with Recursive Least Square (SMI-RLS) and Least Mean Square with Recursive Least Square (LMS-RLS) algorithm. The results are compared on the basis of null depth and error plot for diff...

This paper represents a comparative Study of filter algorithms Least Mean Square (LMS), Normalized Least Mean Square (NLMS) and Recursive Least Square (RLS) by considering a Quasi Orthogonal Space Time Block Code (QOSTBC) encoded Multiple Input Multiple output (MIMO) Code Division Multiple Access (CDMA) system. MIMO-CDMA system has been currently acknowledged as one of the most competitive tech...

In this paper, a technique to determine the filter bank coefficients of Wavelets db3 and coif2 using mean square error adaptive filter RLS algorithm has been presented. Filter bank coefficients of the wavelet are treated as weight vector of adaptive filter and are changed iteratively to reach the desired value after few iteration. It is found that of the three adaptive algorithms viz. Least Mea...

In order to gain insights on equalization design in the wireless mobile communication systems, we compare the performance of several multi-channel MLSE equalizers which adaptively track the fast-fading channels. Commonly-used channel tracking schemes, Decision-Directed Recursive Least Square (DD/RLS), Per-Survivor Processing Recursive Least Square (PSP/RLS) and other reduced-complexity MLSE alg...

A comparison study of different adaptive algorithms(Least Mean Square(LMS), Normalized Least Mean Square(NLMS), Delayed Least Mean Square(DLMS), Recursive Least Square(RLS), QR decomposition based RLS(QRDRLS), Affine Projection(AP) ) using Adaptive filter is presented in this paper. The paper focuses on these adaptive algorithms which are used to reduce the noise from the signal which is corrup...

In Bio-medical engineering, Electrocardiograph (ECG) has a key importance to diagnose the heart diseases. While acquiring the ECG signal, an Electroencephalography (EEG) interferes the desired ECG signal, due to which the true information can not be retrieved. In this paper, the modified Iterative Version of Adaptive kalman and Recursive Least Square (RLS) Adaptive Filtering algorithms are used...

This paper proves the effectiveness of Least Mean Square (LMS) estimation algorithm for estimation of power system harmonics, inter-harmonics and sub-harmonics of distorted signal. Accurate estimation can be achieved by this technique for harmonics, sub-harmonics and inter-harmonics estimation including possible variation in the signal such as change in amplitude when applied to a distorted pow...