This paper propose a new complex adaptive notch Þlter (ANF) structure based on the Steiglitz-McBride (SM) method. Recursive least square (RLS) algorithm is applied to the proposed ANF with optimized stepsize. Simulations show that RLS-SM ANF converges fast and requires less computational complexity than the conventional ANF using recursive prediction error (RPE) algorithm.

This paper is concerned with studying the forgetting factor of the recursive least square (RLS). A new dynamic forgetting factor (DFF) for RLS algorithm is presented. The proposed DFF-RLS is compared to other methods. Better performance at convergence and tracking of noisy chirp sinusoid is achieved. The control of the forgetting factor at DFF-RLS is based on the gradient of inverse correlation...

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...

Abstract— In this paper, Recursive least square (RLS) based complex Adaptive notch filter (ANF) using Steiglitz-McBride (SM) method is proposed to suppress the Radio frequency interference (RFI) in very-highspeed digital subscriber line (VDSL) systems. The proposed RLS-SM ANF converges fast and requires less computational complexity than the existing direct form constrained ANF using recursive ...

This paper prefers Acoustic Noise cancellation (ANC) system using Wavelet based adaptive filtering algorithms. The Acoustic Noise canceller is implemented using adaptive algorithms like LMS (Least Mean Square), NLMS (Normalized Least Mean Square),RLS (Recursive Least Square), and FRLS (Fast Recursive Least Square). The inclusion of wavelet based transformation in ANC reduces the number of sampl...

The authors present the parallel-hybrid recursive least square (PH-RLS) algorithm for an accurate self-mixing interferometric laser vibration sensor coupled with accelerometer under industrial conditions. Previously, this was achieved by using a conventional RLS to cancel parasitic vibrations where itself is not in stationary environment. This operates sequential mode and due its compute data-i...

In the clinic. the traditional method to obtain Evoked Potential (EP) is the calculated average value of repeated measurements. This is infficient and inaccurate. An adaptive signal enhancement filter embedded with Least Mean Square (LMS) or Recursive Least Square (RLS) algorithm is an ffictive tool. It significantly decreases the number of repeat measurements needed to obtain satisfactory resu...

This paper presents an adaptive filtering method to remove ocular artifacts in the electroencephalogram (EEG) records. The major concern in analyzing EEG signal is the presence of ocular artifacts in EEG records caused due to various factors. It is essential to design specific filters to remove the artifacts in EEG records. Here, we proposed an adaptive filtering method that uses RLS (Recursive...

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...