Digital Signal Processing

Catalog description

This course presents the fundamental concepts and techniques of digital signal processing (DSP). Time domain operations and techniques include difference equations and convolution summation. This course also covers Z transform methods, frequency- domain analysis of discrete-time signals and systems, discrete Fourier transform, and fast Fourier transform. FIR and IIR filter design techniques. This course emphasizes the frequency response of discrete-time systems and its relationship to analog systems. The course has an associated Laboratory experiments set, which will require the use of simulation software (e.g. MATLAB, LABVIEW) and hardware equipment. Prerequisites: EE 321 with a minimum grade of C, EE 330 with a minimum grade of C.