In this tutorial, I plan to start with a basic overview of discrete-time signals and systems using a module I developed for my book Signals and Systems for Dummies. Once a basic foundation has been laid, all with the help of hands-on Python code examples in a Jupyter notebook, I move on to more advanced topics related to statistical signal processing, digital communications, and software-defined radio. Simulations of digital communications transmitters and receivers will be explored using Python code modules found in the newly posted scikit-dsp-comm, as well as data acquisition code used in conjunction with a popular software-defined radio USB dongle (RTL -SDR) of $20.
The capstone of the tutorial has students write code to recover FM stereo radio broadcasts from a raw, complex signal file obtained from the output of a popular $20 software-defined radio module (the RTLSDR). Hardware is made available that allows small groups to work together.

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