Digital Signal Processing

Course: ESE531

Units: 1.0 CU
Term: Spring 2020
When: TR 4:30-6pm
Where:Virtual Session
Instructor: Tania Khanna (Levine 262) (seas: taniak) (office hours: WF 1-2:30pm and by appointment)
TA: Dhaval Bhatt (seas: dhavalb) Office hours: Th 6-7pm, F 3-5pm in Virtual Session
TA: Yinghao Zhang (seas: zhangyh) Office Hours: W 4-5pm in DRL 4N30, Sat 10am-12pm in Virtual Session

Prerequisites: ESE 324/224 or equivalent. Undergraduate students need permission of instructor. Roundup of topics you should be familiar with.

Quick Links: [Course Objectives] [Grading] [Policies] [Spring 2020 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: