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...

Inter-symbol interference if not taken care off may cause severe error at the receiver and the detection of signal becomes difficult. An adaptive equalizer employing Recursive Least Squares algorithm can be a good compensation for the ISI problem. In this paper performance of communication link in presence of Least Mean Square and Recursive Least Squares equalizer algorithm is analyzed. A Model...

In this paper, a low order recursive linear prediction method and recursive least square as an adaptive filter (LP-RLS) are introduced to predict the speech and the excitation signals. In real-time packet-based communication systems, one major problem is misrouted or delayed packets which results in degraded perceived voice quality. If packets are not available on time, the packet is known as l...

A novel recursive algorithm for identification of Hammerstein structures is developed. The linear and nonlinear parameters are separated and estimated recursively in a parallel manner, but each updating algorithm employs the estimation produced by the other at the previous time instant. Hence, it is termed the Alternately Recursive Least Square (ARLS) algorithm.When compared with Recursive Leas...

Mechanical resonance occurs during the operation of a maglev inertially stabilized platform (MISP). The MISP is driven by motor gear and clearance changes commutation, which makes frequency variable. Conventional notch filters with constant parameters are not ideal for variable suppression. In this study, forgetting factor in recursive least squares (RLS) algorithm was improved to estimate onli...

In this paper, we propose a computationally efficient Legendre Neural Network (LNN) for nonlinear Active Noise Cancellation (NANC). Update algorithms for NANC with linear secondary path (LSP) based on Filtered-x Least Mean Square (FXLMS), Filtered-e Least Mean Square(FELMS) and Recursive Least Square(RLS) are developed. Update algorithm for NANC with nonlinear secondary path(NSP) is also develo...

AbstructThe least square estimation problem for pinned-to-zero discrete-index reciprocal Gaussian processes in additive white noise is . . . . 1), . . . , (T 2. l ) l t . (53) solved, thus completing and extending some previous results available in the literature. In particular, following the innovations approach a (finite) set of recursive equations is obtained for the filter and for the three...

This paper starting from the very first principle presents a derivation of an equation estimating of the final prediction error for a neural network under the recursive least square framework. The equation is in the form: hhPEiF iT 1⁄4 hTEiT N þ d1 N d2 , where d1 and d2 are some values determined by the gradient of the nonlinear mapping at the true system parameter. A cheap way of estimating s...