ADR Awareness Centre

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

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 Discrete Fourier Transform that has many applications in digital signal processing and analysis and in power spectrum estimation.

This lecture overviews Fast Fourier Transform that has many applications in digital signal processing and analysis and in power spectrum estimation.

This lecture overviews Probability Theory  that has many applications in a multitude of scientific and engineering disciplines, notably in Pattern Recognition and Machine Learning. It covers the following topics in detail:

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