Adaptive filter design for estimation and detection of biological signals: an application to electroencephalography

An innovative technique for estimation and detection of alpha waves using adaptive filters is presented. In these analyses both Wiener transfer functions and non-Wiener transfer functions are used. Comparisons are made for different RMS signal-to-noise ratios. Simulations are done with class 1 filters where prior knowledge of all spectra estimates is assumed. These techniques are found to be very flexible in their application to other biological signals. >