DSP

Digital Signal Processing (DSP)

Reference Book

Steven W. Smith
“The Scientist and Engineer’s Guide to Digital Signal Processing”
(Free online access)

Course Goals

Develop Convolution Kernel algorithms in Python
Design and develop different window filters in Python
Develop the Discrete Fourier Transform (DFT) algorithm in Python
Design and develop Type I and II Chebyshev filters in Python
Develop the Inverse Discrete Fourier Transform (IDFT) algorithm in Pyhton
Develop the Fast Fourier Transform (FFT) algorithm in Python
Perform spectral analysis on ECG signals in Python
Design and develop Finite Impulse Response (FIR) filters in Python
Design and develop Infinite Impulse Response (IIR) filters in Python
Design and develop Butterworth filters in Python
Design and develop Match filters in Python
Design and develop Bessel filters in Python
Simulate Linear Time Invariant (LTI) Systems in Python
Perform linear and cubic interpolation in Python

Course Modules

Module 0 – Set Up

Downloading and installing Python 3
Which IDE to use (PyCharm Community Edition)
Installing Python Packages (matplotlib, numpy, and scipy)
Testing the Packages

Module 1 – Foundations

Statistics, Probability and Noise (Chapter 2)
ADC and DAC (Chapter 3)
DSP Software (Chapter 4)

Module 2 – Fundamentals

Linear Systems and Superposition (Chapter 5)
Convolution (Chapter 6)
DFT and iDFT (Chapter 8)

Lectures (Zoom)

Week 1 – Module 0 and 1
Week 2 – Module 2

Support Modules