Digital Signal Processing ENSC 429 (4)
Discrete time signals and systems, sampling and quantization. The Discrete Fourier Transform and fast transforms. Digital filters, IIR and FIR, design procedures and implementations. Quantization noise in digital filters and transforms. Random signals, the response to linear systems to random signals. Introduction to adaptive systems. Introduction to system architectures for digital signal processing. Laboratory work includes familiarization with digital signal processing software packages. Prerequisite: (ENSC 327 or ENSC 328), (ENSC 380 or MSE 280), and a minimum of 80 units.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Daniel Lee |
May 7 – Aug 3, 2018: Wed, Fri, 2:30–4:20 p.m.
|
Burnaby |
|
| D101 | TBD | ||
| LA01 | TBD |