EE4015
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Digital Signal Processing
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~ The best way to learn is to learn from the best.
Python 3
Installation of Anaconna Python Environment
Download Anaconda
Installing Python and Anaconda (Mac & Windows)
Install Python Packages with pip and conda
Juypter Lab
- Easy to use environment that combines Python, Graphics and Text.
JupyterLab is Ready for Users
Jupyter Lab Installation
Jupyter Lab Tutorial in 6 minutes
Jupyter Lab Tutorial - Fully Interactive!
Juypter Notebook Examples
Google Colab
: Colaboratory is a hosted Jupyter notebook environment that is free to use and requires no setup
Colab: An easy way to learn and use TensorFlow
Colab Youtube Tutorial
Google Colab Free GPU Tutorial
A Complete guide to Google Colab for Deep Learning
PyCharm IDE
Python Programming Tutorials (Socratica Youtube)
Numpy Tutorial
Learn Numpy - Array Indexing & Creation, Basic & Advanced Operations in 20 Minutes
Using NumPy Arrays to Perform Mathematical Operations in Python
NumPy for MATLAB users
NumPy Tutorial | SciPy 2020 | Eric Olsen
DSP with Python
Youtub Tutorial : DSP using Python and MATLAB
Allen Downey - Introduction to Digital Signal Processing - PyCon 2018
Python Audio
Digital signal processing through speech, hearing, and Python
Using Python for real-time signal analysis (Mohammad Farhan)
Deep Learning for Audio with Python
Audio Signal Processing for Machine Learning
Signal Processing 101
Processing music on the fly with Python
OpenCV
Image Processing in OpenCV
OpenCV introduction given by Alexander Rybnikov
PPT
Github
OpenCV 3.4 with Python 3 Tutorial
Sendex's OpenCV with Python Tutorial
OpenCV Python Tutorial
Jupyter Notebooks on OpenCV based Imagge Processing Tutorial
Mathematics
Review of Mathematics and Signal Processing
MIT - Highlight of Calculus
by Gilbert Strang
MIT - Linear Algebra
by Gilbert Strang
MIT - Differential Equations and Linear Algebra
by Gilbert Strang and Cleve Moler
MIT - Introduction to Probability
by John Tsitsiklis and Patrick Jaillet
MIT - Signals and Systems
by Alan V. Oppenheim
Review of Linear Algebra (MathTheBeautiful)
Part 1: Linear Algebar - Subspaces
Part 2: Linear Algebar - Determinants
Part 3: Linear Algebar - Transformations
Part 4: Linear Algebar - Inner Products
9 Python Libraries Which Can Help You In Image Processing
Python Image Processing Tutorial
