Catalog Course Description

Continuation of ECE4625/5625. Digital modulation and demodulation; equalization and diversity; error correcting code performance in noise; introduction to spread spectrum and space communications; simulation of communication systems.
Prerequisite: ECE 3610 and ECE 4625/5625 or equivalent
Offered: Fall even years (S)

News for 09-04-2024

Welcome to the Fall 2024 semester. This page is being served on a new platform, so as the author I am still getting used to creating and editing content in Word Press. The fall 2024 course syllabus is now available under the Course Materials tab below. The use of modeling tools for DSP will be a big topic at our first class meeting, but to start with I am assuming scientific computing with Python as the starting point. Syntax conversion between Python/MATLAB/Julia is contained in links under the Learning Python section at the bottom of this home page.

Getting Tools Setup

• Create a new Python virtual environment using miniconda as of February 09, 2026 09:01:05 (UTC). I suggest this to get going quickly with Python as of (UTC). This will give you a full scientific Python environment good for the entire semester. You will have scientific Python with scikit-dsp-comm running in Jupyter Lab with pyaudio for real-time DSP. Python scripts with debugging and Jupyter notebooks with debugging will also work in vs code with extensions.
• Install Julia, Python, Jupyter Lab, Pyaudio as of (UTC). For both Python users and Julia users, the document also provides details on how Markdown files exports from Jupyter Lab can be used to produce PDF pages that can be merged with handwritten homework pages. The approach is to edit Markdown in vs code for producing PDFs from Jupyter Lab documents to include in your solved homework.
• C++ development with MSYS2, gcc/g++, and then configure vs code extensions for building, debugging, and running code.
• Get motivated for digital comm in the Jupyter notebook by reading some Scipy Conference papers I published using pyaudio_helper. As an application consider a 3D audio simulator that makes use of pyaudio_helper.

Spring Related 2025

A course of related interest Spring 2025 is Real-Time DSP, ECE 5655/4655-3, a three-credit course on programming the ARM CortexM4/M7. Keil MDK is the IDE, and we make use of the ARM CMSIS-DSP library. As of Fall 2024 I am not sure this course will be offered.

Learning Python and Getting Acquainted with Julia

There are many resources for learning Python. For our purposes we are interested in learning Python with an emphasis on the so-called scipy stack which includes the well-known packages numpy, scipy, and matplotlib.

• Scientific-python.org
• Python Basics a tutorial written in Jupyter Notebook. A ZIP of the complete Jupyter notebook with all graphics.
• An IDE I recommend is VS Code with many nice extensions for Python, Julia, and Jupyter, C++, just to name a few.
• Cheatsheet for MATLAB/Python/Julia.
• NumPy2MATLAB and IPython reference card.
• Julia Tools ZIP package.