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Digital Signal Processing Systems

Course title: Digital Signal Processing Systems

Code: FEIT05L021

Number of credits (ECTS): 6

Weekly number of classes: 3+1+1+0

Prerequisite for enrollment of the subject: Fundamentals of Digital Signal Processing

Course goals/Competences: The goal of the course is familiarize the students with the advanced concepts which are important for the understanding of the contemporary methods used in many DSP applications.

- intuitive understanding and an ability to implement the theoretical concepts while solving practical problems related to applications where the sampling speed is variable and the filtering is adaptive

Total available number of classes: 180

Curriculum: Digital filter structures. Block diagram representation. Equivalent structures. Basic FIR digital filter structures. Basic IIR digital filter structures. Realization of basic structures (Matlab). Allpass filters. FIR cascaded lattice structures. Parallel allpasss realization of IIR transfer function. Computational complexity of digital filter structures.

Analysis of finite word length effects. Analysis of input quantization effects (input quantization noise, output quantization noise). Analysis of coefficient quantization effects: statistical model of multiplier, effects on second order section realization in direct, cascade and parallel form. Limit cycles.

Multirate digital signal processing. Basic operation in time and frequency domain. The poliphase decomposition. Digital filter banks: QMF and PR two- channel filter banks. L- Channel QMF filter banks. Wavelet transform. Wavelet transform and filter banks.



Compulsory literature







Mitra Sanjit K.

Digital Signal Processing:A Computer-Based approach, 2 edition

McGraw Hill



P. P. Vajdijanatan

Multirate Systems and Filter Banks

Prentice Hall



S. Bogdanova

Systems for Digital Signal Processing, notes from lectures