The recursive least squares (RLS) algorithm is well known for its good convergence property and small mean square error in stationary environments. However RLS using constant forgetting factor cannot provide satisfactory performance in time varying environments. In this seminar, three variable forgetting factor (VFF) adaptation schemes for RLS are presented in order to improve the tracking perf...

Givens rotation is the most commonly used method in performing the QR decomposition (QRD) updating. The generic formula for these rotations requires explicit square-root (sqrt) computations which constitute a computational bottleneck and are quite undesirable from the practical VLSI circuit design point of view. So far, there has been more than ten known sqrt-free algorithms. In this correspond...

This article describes a parallel OpenMP and/or MPI implementation of an algorithm for solving the Recursive Least Squares (RLS) problem, suitable for heterogeneous parallel systems. A model for automatic/adaptive load balancing is proposed for either homogeneous or heterogeneous parallel systems. The algorithm is based on a variant of the Kalman Filter named the square root and extended versio...

This paper presents an adaptive filtering method for removing ocular artifacts in the electroencephalogram (EEG) records. The major concern in analyzing EEG signals is the presents of ocular artifacts in EEG records caused due to various factors. It has become necessary to design specific filters to remove the artifacts in EEG records. In this method, we propose an adaptive filtering method, wh...

An equivalent circuit model of dual polarization (DP) lithium battery was established according to the application characteristics under standby condition 5G base station. On basis model, recursive least square method with forgetting factor (RLS) used identify parameters. Finally, Unscented Kalman filtering (UKF) estimate SOC in real time identified The simulation and experimental results showe...

The aim of the given paper is a development of the direct approach used for the estimation of parameters of a closed-loop discrete-time dynamic system in the case of additive noise with outliers contaminated uniformly in it (Fig. 1). To calculate M -estimates of unknown parameters of such a system by means of processing input and noisy output observations (Fig. 2), the recursive robust H-techni...

In this paper, a new multichannel modified filtered-x (MFX) recursive least square (RLS) algorithm for active noise control (ANC) based on leading element dichotomous co-ordinate descent (LEDCD) iterations is proposed. It is shown that the proposed algorithm has less than half of the complexity of MFX fast transversal filter (FTF) algorithm with good performance for ideal plant models and impro...

Formant frequencies, represented by major peaks in the spectrum of speech signals, convey important information about speech. The authors propose a method for detecting the formants of voiced speech through ‘instantaneous frequency’ (IF) estimation using a recursive least square (RLS) algorithm. The accuracy of the technique is assessed by comparing it with conventional formant detection techni...

This paper proposes an autonomous vehicle trajectory tracking system that fully considers road friction. When intelligent drives at high speed on roads with different friction coefficients, the difficulty of its control lies in fast and accurate identification coefficients. Therefore, improved strategy is designed based traditional recursive least squares (RLS), which utilized for coefficient. ...

The performance of multiuser adaptive minimum mean square error (MMSE) receiver combined with multiple antennas is investigated for wideband code division multiple access systems (W-CDMA) in multipath fading channels. In the adaptive implementation of the receiver, performance of various algorithms like least mean square (LMS), normalized least mean square (NLMS), recursive least square (RLS) a...