Scheda programma d'esame
SIGNAL PROCESSING
ISIDORO FERRANTE
Academic year2016/17
CoursePHYSICS
Code189BB
Credits6
PeriodSemester 1
LanguageItalian

ModulesAreaTypeHoursTeacher(s)
ELABORAZIONE DEI SEGNALI PER LA FISICAFIS/01LEZIONI36
ISIDORO FERRANTE unimap
Programma non disponibile nella lingua selezionata
Learning outcomes
Knowledge
Students are expected to acquire knowledge useful in digital signal manipulation. They will learn ow to make spectral estimate, and how to read a spectrogram. They will also learn digital filter theory, and some simple design method and optimization.
Assessment criteria of knowledge
During the oral exam, the student will be asked to solve simple exercises, or to discuss topics presented during the lectures.

Methods:

  • Final oral exam

Teaching methods

Delivery: face to face

Learning activities:

  • attending lectures
  • individual study

Attendance: Not mandatory

Teaching methods:

  • Lectures

Syllabus
Properties and classification of signals Continuos and discrete Fourier transforms and series. z transform. Linear time invariant systems. Digital filters: properties and design of FIR and IIR. Random signals, Wiener-Kintchine theorem. Nyquist theorem. A/D and D/A conversion. Spectral estimates.
Bibliography
Recommended texts are the following: in English: Steven W. Smith The Scientist and Engineer's Guide to Digital Signal Processing: John G. Proakis, Dimitris G. Manolakis: Digital Signal Processing In Italian: Marco Luise, Giorgio Vitetta - Teoria dei segnali Massimiliano Laddomada, Marina Mondin - Elaborazione numerica dei segnali Lecture notes will be provided.
Work placement
Yes
Updated: 14/11/2016 17:27