Course Code:
CEID_ΝΕ579
Type:
Period:
Winter Semester
Instructors:
Credit Points:
5
A. Theory
- Multirate signal processing, Sampling subsampling, multistage systems implementation, multiphase analysis, filterbanks, perfect reconstruction filters
- Stochastic signals and their linear estimators, Wiener filters, adaptive filters, applications of adaptive filters, filter Kalman
- Eigen filters and eigen analysis
- Face recognition based on low rank modeling
- Image classification techniques based on generative neural networks
- Sparse representations and signal processing
B. Laboratory Exercises
- Six (6) cutting-edge techniques, which refer to applications belonging to the above-mentioned topics and analyzed in detail in the course, are implemented
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Sep 09 2020
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