%0 Journal Article
%T A New Approach to Denoising EEG Signals - Merger of Translation Invariant Wavelet and ICA
%A Janett Walters-Williams
%A Yan Li
%J International Journal of Biometric and Bioinformatics
%D 2011
%I Computer Science Journals
%X In this paper we present a new algorithm using a merger of Independent Component Analysisand Translation Invariant Wavelet Transform. The efficacy of this algorithm is evaluated byapplying contaminated EEG signals. Its performance was compared to three fixed-point ICAalgorithms (FastICA, EFICA and Pearson-ICA) using Mean Square Error (MSE), Peak Signal toNoise Ratio (PSNR), Signal to Distortion Ratio (SDR), and Amari Performance Index.Experiments reveal that our new technique is the most accurate separation method.
%K Independent Component Analysis
%K Wavelet Transform
%K Unscented Kalman Filter
%K Electroencephalogram (EEG)
%K Cycle Spinning
%U http://cscjournals.org/csc/manuscript/Journals/IJBB/volume5/Issue2/IJBB-65.pdf