Displaying 439 resources



Deep Reinforcement Learning
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.



Autonomous Car Modeling and Control
This lecture overviews Autonomous Car Modeling and Control that has many applications in autonomous cars and automated driving.



State – Space Equations
This lecture overviews State –Space Equations that has many applications in digital filters, systems theory and deep learning.



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



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



Laplace Transform
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.