ADR Awareness Centre

This lecture overviews the topics of continuous-time periodic signals, signal frequencies and Fourier Transform (FT).  Its relation to Laplace transform is presented.

This lecture overviews Orthogonal Signal Transforms. Fourier Series that has many applications in signal processing, analysis and compression.

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

This lecture overviews Mathematical Brain Modeling that has many applications in Artificial Neural Networks.  It covers the following topics in detail: Brain Cells (Sensory and Motor neurons, Interneurons, glia).

This lecture overviews Wireless Communication Networks  that has many applications in autonomous systems.

A central challenge to contemporary AI is to integrate learning and reasoning.