A study of Recursive Least Squares (RLS) adaptive
filter algorithm in noise removal from ECG signals

MATLAB--SIGNAL PROCESSING---IEEE-2015

The main aim of this project is the implementation of Extended Kernel Recursive Least Squares Adaptive Filtering Algorithm for the filtering of five different noises that occur in ECG signals during data acquisition. Adaptive filters adapt their filter coefficients with the continuous change of signal using adaptive algorithms, providing the optimum noise removal features for non-stationary signals like ECG.

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