First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
ICT FOR INTERNET AND MULTIMEDIA
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
ICT FOR INTERNET AND MULTIMEDIA
IN2371, Degree course structure A.Y. 2017/18, A.Y. 2017/18
N0
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Degree course track Common track
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
E-Learning website https://elearning.dei.unipd.it/course/view.php?idnumber=2017-IN2371-000ZZ-2017-INP7079338-N0
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

Mutuated
Course unit code Course unit name Teacher in charge Degree course code
INP7079338 DIGITAL SIGNAL PROCESSING GIANCARLO CALVAGNO IN0527
INP7079338 DIGITAL SIGNAL PROCESSING GIANCARLO CALVAGNO IN0521
INP7079338 DIGITAL SIGNAL PROCESSING GIANCARLO CALVAGNO IN0520

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses ING-INF/03 Telecommunications 9.0

Mode of delivery (when and how)
Period First semester
Year 1st Year
Teaching method frontal

Organisation of didactics
Type of hours Credits Hours of
teaching
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

Examination board
Examination board not defined

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