ADR Awareness Centre

This lecture overviews Deep Reinforcement Learning that has many applications in, e.g., Game playing agents, Self-driving vehicles, Robotics (Robot cleaners) and Stock exchange agents.

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

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

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

This lecture overviews discrete-time Signals and Systems topics. Discrete-time signals are presented: periodic signals, delta signal, unit step signal, exponential signal, trigonometric signals, complex exponential signal.

This lecture overviews Statistical Detection that has many applications in Machine Learning, Signal Analysis and Statistical Communications.