Explore sampling, aliasing, truncation effects; discrete and fast Fourier transform methods; convolution and deconvolution; finite and infinite impulse response filter design methods; Wiener, Kalman, noncausal, linear phase, median, and prediction filters; and spectral estimation. Three lecture hours a week for one semester. Electrical and Computer Engineering 351M and Electrical Engineering 351M may not both be counted. Prerequisite: Biomedical Engineering 343, Electrical and Computer Engineering 313 (or Electrical Engineering 313), or 313H with a grade of at least a C-, and credit with a grade of at least C- or registration for Biomedical Engineering 335, Electrical and Computer Engineering 351K (or credit with a grade of at least C- for Electrical Engineering 351K), or 351H.