Lecturer: Paolo Ettore Gamba  

Course name: Digital Signal Processing
Course code: 503116
Degree course: Electronic Engineering
Disciplinary field of science: ING-INF/03
The course relates to:
University credits: ECTS 9
Course website: http://tlclab.unipv.it/sito_tlc/downloads.do?catId=ENS

Specific course objectives

Mathematical treatment of time-discrete signals and systems. Z-transform of signals represented by difference equations. Design of simple FIR and IIR numerical filters for deteministic and stochastic signals. Spectrum estimation for discrete signals.

Course programme

Introduction to digital signal theory
Discrete time signals. Sampling theorem. Linear shift invariant digital systems.

Analysis of digital systems in the Fourier and Z transform domains
Definition and properties of the Z transform. Definition and properties of the Z discrete time Fourier transform (DTFT). The discrete Fourier transform (DFT). The fast Fourier transform (FFT).

Digital filter design
Infinite impulse response (IIR) filters. Finite impulse response (FIR)filters. Windowing techniques.

Spectral analysis
All zero analysis. All pole analysis. MA, AR and ARMA spectrum estimation.

Linear prediction, optimum filtering
Linear prediction and MA, AR and ARMA analysis. Linear filters, matched filters, Wiener filters, LMS, RLS and Kalman algorithms.

Course entry requirements

Prevoiusly introduced concepts in telecommunications and mathematics.

Course structure and teaching

Lectures (hours/year in lecture theatre): 68
Practical class (hours/year in lecture theatre): 0
Practicals / Workshops (hours/year in lecture theatre): 0

Suggested reading materials

A.V. Oppenheim, R.W.Schafer. Discrete-Time Signal Processing (3rd Edition). Prentice Hall, 2009.

Testing and exams

A written test followed by an oral test.