Digital Signal Processing

Course: ESE531

Units: 1.0 CU
Terms: Spring
Next Offered: Spring 2017
When: TR 4:30-6pm
Where: Towne 303
Instructor: Tania Khanna (Moore 203E) (seas: taniak) (office hours: W 2-4:30pm and by appointment)
TAs: Shlesh Tiwari (seas: shlesht) Office hours: T 6-8pm Th 1-3pm at Detkin Lab (Moore Building)

Prerequisites: ESE 324/224 or equivalent. Undergraduate students need permission of instructor
Quick Links: [Course Objectives] [Grading] [Policies] [Spring 2017 Calendar] [Reading] [Piazza]

Catalog Level Description: This course covers the fundamentals of discrete-time signals and systems and digital filters. Specific topics include discrete-time Fourier transform (DTFT); Z-transforms; frequency response of linear discrete-time systems; sampling of continuous time signals, analog to digital conversion, sampling-rate conversion; basic discrete-time filter structures and types; finite impulse response (FIR) and infinite impulse response (IIR) filters; linear phase conditions; design of FIR and IIR filters; discrete Fourier transform (DFT) and the fast Fourier transform (FFT) algorithm. Applications in filtering and spectrum estimation, image filtering, adaptive filters, equalization.


Role and Objectives

Students will: