Introduction to Digital Signal Processing

4 credits · College of Engineering catalogue

Advisory Prerequisite: None. Enforced Prerequisite: EECS 216; No OP/F. Minimum grade requirement of “C” for enforced prerequisite. (4 credits) DSP methods and applications. Sampling and reconstruction, difference equations, convolution, stability, z-transform, transfer function, frequency response, FIR and IIR, DTFT, DFT, FFT, windows, spectrogram, computer-aided filter design, correlation, multi-rate, basic image processing, discrete time wavelets, filter banks. Applications: filtering, denoising, deconvolution, classification, others. Projects are overseen/graded by faculty and may also involve mentoring by representatives from external organizations.