Tutorials (Jupyter notebooks)

Tutorials are currently available as Jupyter notebooks on GitHub.

Contents:

• Introduction to Digital Signal Processing
  • Set up the Python environment
  • Processor Setup
  • Plotting Processors via WaveformBrowser
  • Using build_dsp()
• DSP Tutorial
  • So, You Want to Add a Signal Processing Routine
• Part I: Processing data in bulk using ufuncs
  • Creating a simple processor with numba.guvectorize
  • Advanced guvectorize: changing shape of output
  • Advanced guvectorize: wrapping functions from other python libraries
  • Advanced guvectorize: writing a function that can be initialized
  • Conventions for writing dspeed processors
• Part II: Using dspeed to combine multiple processors
  • Executing our Processing Chain
  • Using the waveform browser to look at transforms
• Browsing waveforms with the WaveformBrowser
  • Basic browsing
  • Filtering waveforms
  • Visualizing waveform transforms
  • Comparing waveforms
  • Direct access of waveforms and other quantities