Lecture
Signal Representations: Wavelet Analysis
Related lectures (31)
Signal Representations
Explores wavelets as orthonormal bases for piecewise constant signals over unit intervals.
Signal Representations
Covers signal representations using concepts such as Haar wavelets and FIR filters.
Wavelet Design: Fourier Transform
Covers the design of wavelets using Fourier transform and procedures for selecting wavelet functions.
Signal Representations
Covers the concept of signal representations using wavelets and the Haar wavelet.
Watermarking II
Covers advanced topics in watermarking, including resisting scaling and rotations, self-referenced watermarking, and types of attacks.
Image Processing II: Optimal Transforms and Applications
Explores optimal transforms, image applications, linear algebra, and 2nd-order statistics in image processing.
Image Processing II: Wavelet Transform and Multiresolution Analysis
Explores wavelet transforms, multiscale analysis, Haar expansion, and image pyramids in image processing.
Linear Regression: Statistical Inference and Regularization
Covers the probabilistic model for linear regression and the importance of regularization techniques.
Image Processing Labs with Jupyter Notebooks
Covers the development of Jupyter Notebooks for image processing labs with automated suggestions for students.
Probabilistic Models for Linear Regression
Covers the probabilistic model for linear regression and its applications in nuclear magnetic resonance and X-ray imaging.