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...

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...

In this paper a fast and ecient adaptive learning algorithm for estimation of the principal components is developed. It seems to be especially useful in applications with changing environment , where the learning process has to be repeated in on{line manner. The approach can be called the cascade recursive least square (CRLS) method, as it combines a cascade (hierarchical) neural network scheme...

This study presents a square root version of extended kernel recursive least square algorithm. Basically main idea is to overcome the divergence phenomena arise in the computation of weights of the extended kernel recursive least squares algorithm. Numerically stable givens orthogonal transformations are used to obtain the next iteration of the algorithm. The usefulness of the proposed algorith...

Elimination of tainted noise and improving the overall quality of a speech signal is speech enhancement. To gain the advantage of individual algorithms we propose a new linear model and that is in the form of cascade adaptive filters for suppression of non-stationary noise. We have successfully deployed NLMS (Normalized Least Mean Square) algorithm, Sign LMS (Least Mean Square) and RLS (Recursi...

Large-scale voltage collapse incidences, which result in power outages over large regions and extensive economic losses, are presently common occurrences worldwide. To avoid operate more safely reliably, it is necessary to analyze the security operation region (VSOR) of systems, has become a topic increasing interest lately. In this paper, novel improved particle swarm optimization recursive le...