Introduction – wiener filter – Eigen analysis and the performance surface – the least – mean-square (LMS) algorithm – Transform domain adaptive filters – subband adaptive filters – method of least squares and recursive least squares (RLS) – algorithm application – adaptive noise cancellation – linear prediction and modeling – adaptive signal/image enhancement – adaptive echo cancellation adaptive jammer suppression – extraction and enhancement of evoked brain potentials – adaptive filtering of ocular artifacts from the human Electroencephalogram (EEG) – adaptive canceling of maternal Electrocardiogram (ECG) in fetal ECG - Time segmentation and tracking of non – stationary signal with application to EEG .