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ADVANCED DIGITAL SIGNAL PROCESSING METHODS
Code: 34412
ECTS: 4
Lecturers in charge: prof. dr. sc. Damir Seršić
Lecturers: doc. dr. sc. Ana Sović Kržić - Lectures
Take exam: Studomat
English level:

1,1,0

In agreement with the students enrolled in the course, the lecturer will provide as many teaching elements in English as possible, or in both English and Croatian for mixed groups (i.e., bilingual teaching materials and bilingual exams). Level 2 also includes additional individual consultations with foreign students (as in Level 1) for the teaching elements which will be held in Croatian.
Load:
Lecture typeTotal
Lectures 30
* Load is given in academic hour (1 academic hour = 45 minutes)
Description:
This course gives knowledge on time-frequency transforms of signals, filter banks used in modern systems for compression, noise suppression and communications. 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 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 suppression of noise. Efficient computer realizations. Arrays of distributed sensors, spatial filters.
Literature:
  1. Wavelets and Filter Banks; Strang G. and Nguyen T.; Wellesley-Cambridge Press; 1996; ISBN: 978-0961408879
  2. Wavelets and Subband Coding; Vetterly M. and Kovačević J.; Prentice Hall; 1995
  3. Multirate Systems and Filter Banks; Vaidyanathan P.P.; Prentice Hall; 1993; ISBN: 978-0136057185
  4. Napredne metode digitalne obrade signala; Seršić; FER; 2005
1. semester
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3. semester
preporučeni izborni predmeti - Mandatory profile - Electronic and Computer Engineering
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