Course Description

Advanced Methods of Digital Signal Processing is a one term course (winter term) intended for undergraduate students on the Faculty of Electrical Engineering and Computing at the University of Zagreb.

Syllabus

Short-time Fourier transform (STFT). Wavelet transform, continuous and discrete (CWT, DWT). Resolution in the time-frequency plane. Frame theory. Filter banks: subband decomposition of signals. Multirate systems, decimation and interpolation. Perfect reconstruction conditions. Polyphase representation of the filter banks. Lattice and ladder realization. Desired decomposition features through the filter bank structure. Wavelet filter banks. Limit scale and wavelet function. Wavelet packets. Optimum trees. Applications in feature extraction, communication, signal compression and noise suppression. Efficient computer realizations.

Staff

Instructor is Associate Professor Damir Seršić. Teaching assistant is Dr. Marko Subašić.