Introduction to Digital Signal Processing with Python

This repo contains a preliminary Jupyter Notebooks to hands on signal processing with python. This material is part of the Signals and Systems course TA sessions taught by me at the University of Tabriz.

1. Jupyter Intro: Introduction to the main useful properties of Jupyter Notebook.
2. Review Python: Review the most useful python functions.
3. Numpy
4. Sympy
5. Digital Signal Processing: Some notebooks about creating signals, Fourier series, Fourier Transform and filtering
6. Final Project Questions

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E_DSP_Python.pdf file is the corresponding presentation file.

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Reference:

• Robert Johansson, Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib, Apress, Second Edition. 2018.