Yanina Shkel
Teaching & PhD
Teaching
Communication Systems
Computer Science
Courses
Signal processing
Signal processing theory and applications: discrete and continuous time signals; Fourier analysis, DFT, DTFT,
CTFT, FFT, STFT; linear time invariant systems; filter design and adaptive filtering; sampling; interpolation
and quantization; image processing, data communication and control systems.
Advanced probability and applications
In this course, various aspects of probability theory are considered. The first part is devoted to the main theorems in the field (law of large numbers, central limit theorem, concentration inequalities), while the second part focuses on the theory of martingales in discrete time.