Fundamentals of real-time signal and video processing
Real-time definitions
Real-time processing platforms
Software methods and algorithm simplifications
Design and implementation of real-time signal and video processing applications
Real-time constraints: from research to implementation.
Practical examples for signal processing
Practical examples for video processing
Highly demanding computational models learned from data
Machine learning principles
Artificial neural networks and deep learning
Typical DNN models and implementation
Examples of highly demanding signal and video processing applications.
Practical content.
Work on three practical cases related to theory units.