2017/2018

2018/2019

DM270

ING-INF/03 (TELECOMUNICAZIONI)

DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE

ELECTRONIC ENGINEERING

Microelectronics

2°

Primo Semestre (01/10/2018 - 18/01/2019)

6

50 ore di attività frontale

English

SCRITTO E ORALE CONGIUNTI

SAVAZZI PIETRO (titolare) - 6 CFU

Basic concepts in continuous time signal theory.

Mathematical treatment of time-discrete signals and systems:
. Z-transform of signals represented by difference equations;
. design of digital filters for deterministic and stochastic signals;
. spectrum estimation for discrete-time signals;
. optimal filtering and adaptive filter design.

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.

Discrete-time random processes.

Digital filtering of deterministic and stochastic signals.

Deterministic and stochastic signal modeling.

Wiener Filter: linear prediction, white noise filtering, unwanted signal canceling.

Adaptive filtering: LMS, RLS and Kalman algorithms.

Application examples in Matlab and programmable hardware platforms.

Lectures (hours/year in lecture theatre): 44
Practical class (hours/year in lecture theatre): 0
Practicals / Workshops (hours/year in lecture theatre): 8

Monson H. Hayes Statistical Digital Signal Processing and Modeling. John Wiley & Sons Inc, 1996.

The exam consists of an oral test during which questions will be asked on two/three different topics regarding the basic mathematical techniques, signal characterization, and filtering, in order to cover most of the course topics.

Alternatively, each student can choose to implement a laboratory project, assigned by the teacher, followed by an in-depth interview. The assigned projects will cover most of the course topics.

The final mark is in thirtieths.