


Error Analysis in Digital Filters
This lecture overviews Error Analysis in Digital Filters that has many applications in digital signal processing and analysis.



Motion Estimation
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.



2D Visual Object Tracking
Object/Target tracking is a crucial component of many vision systems. Object tracking issues are overviewed, e.g., occlusion handling, feature loss, drifting to the backgound.



Spectral Signal Analysis
This lecture overviews Spectral Signal Analysis that has many applications in periodicity estimation and acoustic/speech/music/biomedical signa analysis.



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



Blockchain Algorithms
This lecture overviews Blockchain technology that has many applications in cryptocurrencies, e-commerce and identity management.