Catalog Course Description
This course presents the application of digital filtering theory to problems in communications and signal processing. Topics include discrete spectral analysis of random signals, discrete time signal detection, estimation and filtering algorithms including the Kalman filter and effects of discrete noise sources in digital signal processing.
Prerequisite: ECE 5610 and ECE 5650, or equivalent
Offered: On demand
Course Materials - Course Notes, m-Code
Course Syllabus as of 10:14 PM on Thursday, August 28, 2014.
Intro Lecture as of 10:14 PM on Thursday, August 28, 2014.
Chapter 1 notes as of 10:14 PM on Thursday, August 28, 2014.
Chapter 2 notes as of 10:14 PM on Thursday, August 28, 2014.
Chapter 3 notes as of [an error occurred while processing this directive].
Chapter 4 notes as of [an error occurred while processing this directive].
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Chapter 9 notes as of [an error occurred while processing this directive].
Chapter 10 notes as of 10:14 PM on Thursday, August 28, 2014.
Lecture Notes
Lecture Videos for Download
Lectures as QuickTime or MP4 Movies
The typical file size per lecture is about 300 MB.
- None available for this course.
Problem Sets with Solutions
MATLAB/Python Projects
- TBD
Exams
- Midterm as of 08:17 AM on Monday, October 27, 2014.