Instructor:
Liang Zhang, Assistant Professor
Prerequisites
ENGE 330 (all with grade of C or better), or permission of instructor.
Objectives
This is an introductory course in digital signal processing, covering the basic principles governing the design and use of digital systems as signal processing devices.
Topics include: properties of discrete-time signals and systems, sampling theory, transform analysis, system structures, effects of finite precision arithmetic, digital filtering in time and frequency domain, IIR and FIR filter design techniques, the Discrete Fourier Transform, and Fast Fourier Transforms. The objective of this course is to provide a basic introduction to the theory of digital signal processing (DSP). Major parts of the course will concentrate on signal analysis using Fourier transforms, linear system analysis, Filter design and a few more advanced topics.
Location
EASC 2041
Time
Mon/Wed/Fri 12:00 pm -12:50 pm