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