ADR Awareness Centre

This lecture overviews Linear Algebra that has many applications in Machine Learning, Computer Vision and Scientific Computing.

This lecture overviews Geometric Spaces that has many applications in Machine Learning and Digital Signal Processing and Analysis. It covers the following topics in detail: Vector Spaces, Affine Spaces, Metric Spaces.

This lecture presents Laplace Transform (LT) and its region of convergence.  Its relation to Laplace transform is presented. Notable LT properties are reviewed: time shift, convolution, signal differentiation/integration.

This lecture overviews Signal Sampling that has many applications in signal acquisition, processing and analysis.

This lecture overviews Signals and Systems. 1D signals, 2D signals (images), 3D signals (videos, medical volumes) are presented. Multichannel signals come next.

This lecture overviews Robust Statistics that has many applications in Data Analytics and Digital Signal Processing and Analysis. It covers the following topics in detail: Outliers.