Digital Signal Processing

Course: ESE531

Units: 1.0 CU
Term: Spring 2021 (all times below are EST)
When:Weekly Video Release
Where:Canvas
Instructor: Tania Khanna (Levine 262) (seas: taniak) (office hours: T 9-10am, W 1-3pm Th 3:30-4:30pm and by appointment)
TA: Shuang Wu (seas: shuaw) Recitation: F 2-3pm, Office hours: Th 12-1pm, Zoom link in Piazza
TA: Enri Kina (seas: enrikina) Office hours: M 3:30pm-5:30pm, F 12am-2am, Zoom link in Piazza

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 2021 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: