Digital Signal Processing (DSP) From Ground Up™ in Python

Signal Processing Algorithms : Theory, Intuition, Mathematics, Numerical examples, and Python implementation

Created by: Zeeshan Ahmad
Machine Learning and Statistical Signal Processing

What Will I Learn?

• Fundamentals of Signals Processing.
• Analog to digital conversion
• Sampling and Reconstruction.
• Nyquist Theorem.
• Convolution
• Signal denoising.
• Fourier transform of Signals
• Signal filtering by FIR and IIR filters.
• Python Crash Course

Requirements

• Some fundamental knowledge of programming may be helpful but not necessary.

Target audience

• Anyone who wants to learn Signal Processing from scratch using Python.
• Anyone who wants to work in Signal area.
• Those students who know the maths of Signal Processing but don't know how to implement with Python.
• Students who want to learn data and Time series filtering.
• Students and practitioners who know implementation of signal processing algorithms in MATLAB but want to switch to Python.