ASCI 4310 - Introduction to Signal Processing

Three hours lecture. Three credit hours.

Introduction to the fundamental concepts and mathematics in signal processing. Use of the fundamental transform techniques (Laplace transform, discrete Fourier transform, ztransform). Discrete time representation of signals, linear time invariant systems. Correlation, coherence, power spectral density, and time delays. Bode plots, poles and zeros, state space. Standard system models (ARMA, ARMAX). FIR and IIR filters. Dual listed in the Graduate Catalog as ASCI 5310. Cross listed as (SYEN 4310)

Prerequisites: MATH 3322 or equivalent.