Advanced Signal Processing Techniques

Course Information
TitleΠροηγμένες Τεχνικές Επεξεργασίας Σήματος / Advanced Signal Processing Techniques
Code098
FacultyEngineering
SchoolElectrical and Computer Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorLeontios Hadjileontiadis
CommonNo
StatusActive
Course ID600001051

Programme of Study: Electrical and Computer Engineering

Registered students: 27
OrientationAttendance TypeSemesterYearECTS
ELECTRICAL ENERGYElective Courses845
ELECTRONICS AND COMPUTER ENGINEERINGElective Courses845
TELECOMMUNICATIONSElective Courses845

Class Information
Academic Year2021 – 2022
Class PeriodSpring
Faculty Instructors
Weekly Hours4
Class ID
600198767
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
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 have the level of understanding extending basic methodologies signal analysis in the direction of advanced processing and analysis of signals. Evaluation of methodologies for the practical feasibility with special circumstances (e.g., in the presence of intense noise) and develop a critical spirit to the selection of appropriate methods of analysis signals.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Modern signal processing methods. Higher-order statistics (HOS). Third and fourth order statistics. Calculation of cumulants, third and fourth order statistics. AR modelling using HOS. Time-frequency analysis. Signal analysis using the wavelet transform. Continuous and discrete wavelets. Multidimensional analysis. Adaptive filters diesign. Signal denoising. Delays and discontinuities detection and determination. Application on biomedical and other high complexity signals
Keywords
advanced signal processing, cumulants-bispectrum, HOS, wavelets, EED
Educational Material Types
  • Notes
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 in order to display key features and understanding the effects of the methodologies in the signal recording. -Through e-mails and website of course.
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures301
Tutorial301
Project602
Written assigments301
Total1505
Student Assessment
Description
Through the oral presentation of the work in front of all students and explain the solutions of topics for understanding the correct answer of all students and the formation of their own judgment for their final degree. In case of doubt an analysis of written paper and discussion with each student on how to assess his paper are made.
Student Assessment methods
  • Written Assignment (Formative, Summative)
  • Performance / Staging (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
-ΜΕΘΟΔΟΙ ΕΠΕΞΕΡΓΑΣΙΑΣ ΒΙΟΪΑΤΡΙΚΩΝ ΣΗΜΑΤΩΝ ΛΕΟΝΤΙΟΣ ΧΑΤΖΗΛΕΟΝΤΙΑΔΗΣ ΤΜΗΜΑ ΕΚΔΟΣΕΩΝ ΠΑΝΕΠΙΣΤΗΜΙΑΚΟ ΤΥΠΟΓΡΑΦΕΙΟ ΑΠΘ 2001 ΘΕΣΣΑΛΟΝΙΚΗ. -ΠΡΟΗΓΜΕΝΕΣ ΤΕΧΝΙΚΕΣ ΕΠΕΞΕΡΓΑΣΙΑΣ ΣΗΜΑΤΟΣ, 2016, Εκδ. Τζιώλας, ΘΕΣΣΑΛΟΝΙΚΗ.
Additional bibliography for study
-Proakis, John G., Fuyun Ling, and C. Nikias. Advanced Topics in Digital Signal Processing. Prentice Hall Professional Technical Reference, 1992. -Nikias, Chrysostomos L., and Athina P. Petropulu. "Higher-Order Spectra Analysis: A Nonlinear Signal Processing Framework. 1993." PTR Prentice Hall, Englewood Cliffs, NJ.
Last Update
20-11-2015