Catalog Course Description
Introduction to principles of modern communication theory and signal processing: AM, FM, PAM, PCM, and delta modulation. Noise analysis, filtering, threshold effects, phase-locked loops, and introduction to digital modulation. Prer., ECE 3205. Meets with ECE 4625.
Prerequisite: ECE 3205 or equivalent
Offered: Spring (S)
Course Materials - Course Notes
Course Syllabus as of 10:50 PM on Thursday, January 09, 2020.
PDF file of Intro Lecture as of 09:38 PM on Monday, January 13, 2020.
Lecture Notes
- PDF file of Chapter 2 as of 10:30 PM on Wednesday, February 09, 2022. Jupyter notebook as of 12:44 PM on Tuesday, February 19, 2019. Jupyter notebook template as of 01:44 PM on Tuesday, January 16, 2018. Jupyter notebook template PDF as of 01:44 PM on Tuesday, January 16, 2018.
- PDF file of Chapter 3 as of 02:48 PM on Tuesday, March 03, 2020. Jupyter notebook as of 01:27 PM on Thursday, February 28, 2019.
- PDF file of Chapter 4 as of 01:22 PM on Tuesday, April 02, 2019. Jupyter notebook as of 05:37 PM on Friday, April 17, 2020.
- PDF file of Chapter 5 as of 02:03 PM on Tuesday, January 02, 2018.
- PDF file of Appendix A as of 01:41 PM on Thursday, April 19, 2018.
To get the Python modules used in the course follow the instructions at scikit-dsp-comm to clone the project from GitHub and then install it.
Lecture Videos - Download
Spring 2020 Lectures as MP4 Movies
All lecture video files are in MP4 format. The URLs are of the form lectures/ece5625/Lecture#.mp4, where # is 1, 2, ... Right clicking over the links should give you the option of copying the URL. The .mp4 file size is typically 200 MB per 75 min lecture.
- Setting up Anaconda and launching the Chapter 2 Jupyter notebook (sp17). Note this video predates the GitHub repo for scikit-dsp-comm, so disregard this in the video and move on to installing git and then scikit-dsp-comm.
- Lecture 1a (sp20). Lecture 1b (sp20).
- Lecture 2a (sp20). Lecture 2b (sp20).
- Lecture 3a (sp20). Lecture 3b (sp20).
- Lecture 4a (sp20). Lecture 4b (sp20).
- Lecture 5a (sp19). (snow day 2020) Lecture 5b (sp20).
- Lecture 6a (sp20). Lecture 6b (sp20).
- Lecture 7a (sp20). Lecture 7b (sp20).
- Lecture 8a (sp20). Lecture 8b (sp18). Old lecture as Exam 1 given.
- Lecture 9a (sp20). Lecture 9b (sp20).
- Lecture 10a (sp20). Lecture 10b (sp20).
- Lecture 11a (sp20). Lecture 11b (sp20).
- Lecture 12a (sp20). Lecture 12b (sp20).
- Lecture 13a (sp20). Lecture 13b (sp20).
- No 14a due to Exam 2. Lecture 14b (sp20).
- Lecture 15a (sp20). Lecture 15b (sp20).
- Lecture 16a (sp20). This is a special finals week lecture video.
To directly download the lectures for playback at a later time, go to the lectures folder, right click, and download
Problem Sets with Solutions
- Set 1 as of 12:29 PM on Tuesday, January 21, 2020.
Quiz Solutions
- Will be populated the next time I teach the course.
Python Projects
Spring 2020 projects:
- Project 1 as of 06:58 AM on Sunday, March 08, 2020. Jupyter notebook sample as of 02:11 PM on Tuesday, March 24, 2020. Focus on the four filter designs needed in Project 1, using the multirate objects as of 07:44 PM on Tuesday, March 31, 2020.
- Project 2 as of 10:25 PM on Sunday, October 11, 2020. Jupyter notebook sample as of 08:02 PM on Sunday, May 03, 2020.
Exams with Solutions
- Will be populated the next time I teach the course.,