Time Schedule:
Jeffrey A. Bilmes
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
This course will serve as a general introduction to digital signal processing. Topics will include discrete-time signals and systems, linear time-invariance (LTI), fourier transforms, z-transforms, sampling, aliasing, frequency response and analysis of LTI systems, structures for such systems, FIR and IIR filter design techniques, the discrete Fourier transform, and the FFT.
Student learning goals
General method of instruction
Recommended preparation
Class assignments and grading