Digital Signal Processing I

Catalog description

Covers the general area of discrete-time signals and the analysis and design of discrete time systems. Topics include time domain analysis, solutions of difference equations, Z-transform analysis, sampling of continuous-time signals, discrete Fourier transforms, Fast Fourier Transforms, and spectral analysis. Processing of discrete-time signals using the DFT and FFT. Design and implementation of discrete-time filters. Extensive use of software simulations in a high-level language such as Matlab. Lecture portion meets with EECE 402. Extra assignments, and/or final project will be required at the graduate level. Prerequisite: EECE 301. Offered every fall semester.