Biomed Signal Proc

This course introduces two fundamental concepts of signal processing: linear systems and stochastic processes. Various estimation, detection and filtering methods are developed and demonstrated on biomedical signals. The methods include harmonic analysis, auto-regressive model, Wiener and Matched filters, linear discriminates, and independent components. All methods will be developed to answer concrete questions on specific data sets such as electro-cardiograms, eletro-encephalography, acoustic signals, or neural spike trains. The lectures will be accompanied by data analysis assignments using MATLAB. 3 hr./wk.; 3 cr.