Signal processing

A.Y. 2018/2019
Lesson for
6
Max ECTS
48
Overall hours
SSD
INF/01
Language
Italian
Learning objectives
Il corso si pone l'obiettivo di fornire le competenze di base dell'elaborazione numerica dei segnali digitali. Oltre ai fondamenti teorici, si affronteranno le principali tecniche di analisi e filtraggio dei segnali numerici, anche attraverso alcuni strumenti software (Matlab).

Course structure and Syllabus

Active edition
Yes
Responsible
INF/01 - INFORMATICS - University credits: 6
Lessons: 48 hours
Professor: Sassi Roberto
Syllabus
· Introduction. Continuous-time and discrete-time signals. Systems. Review of complex numbers. Phasors.
· Time-continuous sinusoidal signals. Frequency. Harmonic frequencies and periodical signals.
· Digital signals: sampling and quantization. Sampling of continuous-time signals and the sampling theorem. Aliasing. Reconstruction of continuous-time signals from samples and interpolation.
· Analysis of discrete-time signals in the frequency domain. Discrete-time Fourier Transform (DTFT), Discrete Fourier Transform (DFT) and FFT algorithm. Spectral characterization of sampled signals.
· Linear time-invariant systems (LTI). Impulse response. Stability and causality. Systems interconnection (series, parallel, feedback). Finite-difference equations as representation of LTI systems.
· Zeta transform. Definition and principal properties. Region of convergence. Analysis of LTI systems via Zeta transform. Transfer functions, poles and zeros. Frequency response. Stability condition in the Zeta domain
· FIR filters. Linear phase and LTI filter with symmetrical impulse response. FIR filters design with the window method.
· IIR filters. Design by poles and zeros placement. Design of digital IIR filters starting from their analog counterparts.

Warning: the class is taught in Italian. The course program is provided for reference only.
Lesson period
First semester
Lesson period
First semester
Assessment methods
Esame
Assessment result
voto verbalizzato in trentesimi
Professor(s)
Reception:
By appointment (email or phone)
Dipartimento di Informatica, via Celoria 18, stanza 6004 (6 piano, ala Ovest), Milano or Polo didattico di Crema (CR)