Time Schedule:
Les Eugene Atlas
E E 518
Seattle Campus
Digital representation of analog signals. Frequency domain and Z-transforms of digital signals and systems design of digital systems; IIR and FIR filter design techniques, fast Fourier transform algorithms. Sources of error in digital systems. Analysis of noise in digital systems. Prerequisite: knowledge of Fourier analysis techniques and graduate standing, or permission of instructor.
Class description
The representation, analysis, and design of discrete time signals and systems. The major concepts covered include: Discrete-time processing of continuous-time signals; decimation, interpolation, and sampling rate conversion; implementation structures for discrete-time systems; time-and frequency-domain design techniques for discrete-time (digital) filters; linear prediction; discrete and fast Fourier transforms; multirate techniques. Concepts will be illustrated in various modern applications.
Student learning goals
General method of instruction
Lectures and discussion.
Recommended preparation
This course presumes a solid understanding of linear time-invariant systems, discrete-time signals, basic sampling, Fourier transforms and bilateral z-transforms.
Class assignments and grading
Weekly homework is due in class on Tuesday, starting the 2nd Tuesday of the quarter.
Homework 15% Midterm Exam (2/12) 35% (Open book and notes.) Final Exam (3/18) 50% (Open book and notes.)
