Digital Signal Processing

Course Information
TitleΨΗΦΙΑΚΗ ΕΠΕΞΕΡΓΑΣΙΑ ΣΗΜΑΤΟΣ / Digital Signal Processing
CodeΤΗ0302
FacultyEngineering
SchoolElectrical and Computer Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CoordinatorIoannis Rekanos
CommonNo
StatusActive
Course ID20001996

Class Information
Academic Year2017 – 2018
Class PeriodWinter
Faculty Instructors
Weekly Hours4
Class ID
600106940
Course Type 2016-2020
  • Background
Course Type 2011-2015
General Foundation
Mode of Delivery
  • Face to face
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Examination)
Learning Outcomes
Upon successful completion of this course, students will understand the basic methodologies signal analysis in discrete form and the fundamentals of digital processing.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Convert analog signal to digital. Discrete signal. Laplace and Fourier transforms of discrete signals. Transforming Z. Difference equations. Discrete transform Fourier (DFT). Fast Fourier Transform Fourier (FFT). Errors in DFT. Solving difference equations. Circular convolution. FIR and IIR digital filters. Digital filter design.
Keywords
digital signal processing, systems analysis, discrete transforms, digital filters (IIR, FIR)
Educational Material Types
  • Multimedia
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Communication with Students
Description
-Through the use of special software for recording and analyzing signals (Matlab 2012, Visual Studio 2012) in order to display key features and understanding the effects of the methodologies in the signal recording. -Through e-mails and the website of the course
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures24
Fieldwork24
Project10
Total58
Student Assessment
Student Assessment methods
  • Written Assignment (Formative, Summative)
  • Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
-ΨΗΦΙΑΚΗ ΕΠΕΞΕΡΓΑΣΙΑ ΣΗΜΑΤΩΝ ΣΤΑΥΡΟΣ ΠΑΝΑΣ UNIVERSITY STUDIO PRESS (από το 2001 ανατύπωση από την Υπηρεσία Δημοσιευμάτων ΑΠΘ) 1987 ΘΕΣΣΑΛΟΝΙΚΗ -ΨΗΦΙΑΚΗ ΕΠΕΞΕΡΓΑΣΙΑ ΣΗΜΑΤΟΣ (Μετάφραση) M. HAYES ΤΖΙΟΛΑ, SCHAUM 2000 ΘΕΣΣΑΛΟΝΙΚΗ -ΒΑΣΙΚΕΣ ΤΕΧΝΙΚΕΣ ΨΗΦΙΑΚΗΣ ΕΠΕΞΕΡΓΑΣΙΑΣ ΣΗΜΑΤΟΣ Γ. ΜΟΥΣΤΑΚΙΔΗΣ ΤΖΙΟΛΑ 2003 ΘΕΣΣΑΛΟΝΙΚΗ
Additional bibliography for study
-Oppenheim, Alan V., Ronald W. Schafer, and John R. Buck. Discrete-time signal processing. Vol. 5. Upper Saddle River: Prentice Hall, 1999. -Proakis, John G., and Dimitris G. Manolakis. Introduction to digital signal processing. Prentice Hall Professional Technical Reference, 1988.
Last Update
18-07-2013