ADR Awareness Centre

This lecture overviews Adaptive Filters that has many applications in signal processing, automatic control, robotics and autonomous systems.

Motion estimation principals will be analyzed. Initiating form 2D and 3D motion models, displacement estimation as well as quality metrics for motion estimation will subsequently be detailed.

Recently, Convolutional Neural Networks (CNNs) have been used for object/target (e.g., face, person, car, pedestrian, road sign) detection with great results.

This lecture Video Processing and Standards Conversion  that has many applications in video denoising, video interpolation and de-interlacing. It covers the following topics in detail: Continouous and discrete multidimensional signals.

Semantic image segmentation is a very important computer vision task with several applications in autonomous systems perception, robotic vision and medical imaging.

This lecture overviews FIR Filter Design that has many applications in digital signal processing and deep neural networks.