A repo containing miscellaneous notes ! It may be too messy to be used by any one else. However, you might be find time-saving/useful things in it!. In addition to links, I also archived some materials here.
- Notes
- Andersen M.S. Ang's notes
- Gradient descent algorithm. (archived in ./notes/Ang_Gradient Descent Algorithm.pdf)
- Landweber iteration - Minimizing $||Ax-b||_2^2$ by Landweber Iteration. (archived in ./notes/Ang_Landweber Iteration.pdf)
- L1 regularized Least Squares (archived in ./notes/Ang_L1 regularized least squares.pdf)
- Derivation of the soft thresholding operator (archived in ./notes/ISTA0-*.*)
- Solving L1 regularized least squares by reweighted least squares (archived in ./notes/ANG_RLS_L1.pdf)
- Datascience Cookbook - By Charles Deledalle. (archived in ./notes/Charles Deledalle_cookbook_datascience.pdf)
- Ivan Selesnick's notes:
- Sparse signal restoration (archived in ./notes/Ivan Selesnick-sparse signal restoration.pdf)
- A Derivation of the Soft-Thresholding Function (archived in ./notes/Ivan Selesnick-A Derivation of the Soft-Thresholding Function.pdf)
- Python - basic image processing operations: read, show, save, resize, change color space - MATPLOTLIB, PIL, CV2.
- Andersen M.S. Ang's notes
- Courses
- Charles Deledalle - Software - Teaching
- UCSD ECE285 Machine learning for image processing
- UCSD ECE285 Image and video restoration
- Berkeley's Digital Image Processing course
- Hyperspectral Imaging Seminar by Prof. Hagit Hel-Or (Collection of genuine papers related to HSI, HSI statistics, classification, segmentation, denoising, sensor fusion, compression, biometrics, etc.) - Archived Page.
- Charles Deledalle - Software - Teaching