Real-Time Digital Signal Processing Using pyaudio_helper and the ipywidgets

The focus of this poster is on teaching real-time digital signal processing to electrical and computer engineers using the Jupyter notebook and the code module pyaudio_helper, which is a component of the package (scikit-dsp-comm)[https://github.com/mwickert/scikit-dsp-comm]. Specifically, attendees will see how easy it is to prototype real-time DSP algorithms for processing analog signal inputs and returning analog signal inputs, all within the Jupyter notebook. Real-time control of running code is provided by ipywidgets. Audio applications and in a reduced bandwidth fashion, software defined radio applications can be developed.

 Speaker: Mark Wickert, University of Colorado