Digital Signal Processing
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. Electrical and Computer Engineering 351M and Electrical Engineering 351M may not both be counted. Three lecture hours a week for one semester.
Prerequisites & course information
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. Electrical and Computer Engineering 351M and Electrical Engineering 351M may not both be counted. Three lecture hours a week for one semester.
Sources
- Course catalogue ↗2026-2027