First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
ELECTRONIC ENGINEERING
Course unit
DIGITAL SIGNAL PROCESSING
INP7079338, A.A. 2017/18

Information concerning the students who enrolled in A.Y. 2017/18

Information on the course unit
Degree course Second cycle degree in
ELECTRONIC ENGINEERING
IN0520, Degree course structure A.Y. 2008/09, A.Y. 2017/18
N0
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Number of ECTS credits allocated 9.0
Type of assessment Mark
Course unit English denomination DIGITAL SIGNAL PROCESSING
Department of reference Department of Information Engineering
Mandatory attendance No
Language of instruction English
Branch PADOVA
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Lecturers
Teacher in charge GIANCARLO CALVAGNO ING-INF/03

Mutuating
Course unit code Course unit name Teacher in charge Degree course code
INP7079338 DIGITAL SIGNAL PROCESSING GIANCARLO CALVAGNO IN2371

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Educational activities in elective or integrative disciplines ING-INF/03 Telecommunications 9.0

Course unit organization
Period First semester
Year 1st Year
Teaching method frontal

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Lecture 9.0 72 153.0 No turn

Calendar
Start of activities 25/09/2017
End of activities 19/01/2018
Show course schedule 2019/20 Reg.2019 course timetable

Examination board
Board From To Members of the board
2 A.A. 2018/2019 01/10/2018 15/03/2020 CALVAGNO GIANCARLO (Presidente)
ZANUTTIGH PIETRO (Membro Effettivo)
BADIA LEONARDO (Supplente)
CORVAJA ROBERTO (Supplente)
ERSEGHE TOMASO (Supplente)
LAURENTI NICOLA (Supplente)
MILANI SIMONE (Supplente)
ROSSI MICHELE (Supplente)
TOMASIN STEFANO (Supplente)
VANGELISTA LORENZO (Supplente)
ZANELLA ANDREA (Supplente)
ZORZI MICHELE (Supplente)

Syllabus
Prerequisites: Signals and Systems.
Target skills and knowledge: The course has two goals. The first one consists in teaching how to put in practice the concepts related to digital signal processing that the student should already know from previous studies. The second one consists in teaching advanced notions of digital signal processing (design and usage of digital filters, interpolation/decimation of digital signals, frequency analysis of digital signals) with practical examples of application which are useful in several areas of the information engineering.
Examination methods: Written exam and home assignment.
Assessment criteria: The student must prove that he/she acquired the basic knowledge of digital signal processing. Moreover, he/she must prove the ability to apply the acquired theory for choosing the appropriate tools for the design and realization of digital signal processing systems to be used in several areas of the information engineering.
Course unit contents: Shift invariant discrete time linear systems: convolution; stability; causality; linear constant coefficient difference equations; FIR and IIR linear filters. Z-transform; transfer function and frequency response: simple examples of low-pass/high-pass, band-pass/band-stop, and all-pass transfer functions. Linear phase FIR filters. DFT: definition, properties and usage in practical contexts; FFT algorithms; fast convolution algorithms.
IIR filter design using the bilinear transformation method; Butterworth, Chebyschev and Cauer filters; frequency transformations. Design of linear phase FIR filters: windowed Fourier series technique; frequency sampling method; minimization of the Chebyschev norm (Remez algorithm).
Direct form, cascade, and parallel realizations.
Multirate linear systems: interpolation and decimation; efficient realizations.
Examples of application.
Planned learning activities and teaching methods: Lectures.
Additional notes about suggested reading: All the topics of the course will be taught in classroom. Class notes can be integrated with the reference textbook and with additional material made available on the moodle platform.
Textbooks (and optional supplementary readings)
  • S. Mitra, Digital Signal Processing:a Computer-based Approach. New York: McGraw-Hill, 2011. Cerca nel catalogo
  • A.V. Oppenheim, R.W. Schafer, Discrete-Time Signal Processing. Upper Saddle River, New Jersey: Prentice-Hall, 1999. Cerca nel catalogo