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 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.