35439 - Advanced Signal Processing Methods Modulübersicht

Module Number: 35439 - module is no longer offered from WS 2011/12
Module Title:Advanced Signal Processing Methods
  Anwendungen der erweiterten Signalverarbeitung
Department: Faculty 3 - Mechanical Engineering, Electrical Engineering and Industrial Engineering
Responsible Staff Member:
  • Prof. Dr.-Ing. Schwarz, Harald
Language of Teaching / Examination:English
Duration:1 semester
Frequency of Offer: Every winter semester
Credits: 4
Learning Outcome:Students will get a deeper insight into modern signal processing problems. The course is future-oriented, as few of the presented ideas are applied in power system nowadays.
Contents:The course introduces bases of advanced signal processing methods in electrical power engineering. Introducing lectures provide ideas of discrete representations of continuous signal with basic functions and signal orthogonal projection. Next stage of the course concerns continuous representations of deterministic signals. Introduced definitions allow passing into nonparametric time-frequency representations. Then, follow the time-scale representations with wavelets. Backgrounds of statistical signal processing are introduced with outlined parameter estimation, optimal filtering, linear modeling and estimation. Finally, various methods of parametric spectrum estimation are outlined. Examples of application in electrical engineering are presented throughout the course.
Main chapters: 1) The backgrounds of deterministic signal representations, 2) Basic functions and signals orthogonal projections, 3) Continuous representations of deterministic signals, 4) Nonparametric time-frequency representations, 5) Generalized equation of nonparametric time-frequency representations, 6) Time-scale signal representations, 7) Backgrounds of Statistical Signal Processing 8) Linear modeling and estimation of model parameters from data 9) Parametric spectrum estimation, 10) Applications in power systems.
Recommended Prerequisites:Knowledges:
  • Linear Algebra
  • Basic Circuit Theory
  • Signals and Systems
Mandatory Prerequisites:None
Forms of Teaching and Proportion:
  • Lecture / 2 Hours per Week per Semester
  • Self organised studies / 90 Hours
Teaching Materials and Literature:
  • web based lecture script
  • S. Haykin, B. Van Veen – Signals and Systems, John Wiley & Sons, Inc., 1999
  • C.W. Therrien – Discrete Random Signals and Statistical Signal Processing, Englewood Cliffs, Prentice Hall, 1992.
Module Examination:Unspecified - Specification from winter semester 2016/17 required!
Assessment Mode for Module Examination:
  • Written examination, 90 min
or
  • verbal examination, 30 min
Evaluation of Module Examination:Performance Verification – graded
Limited Number of Participants:None
Part of the Study Programme:
  • no assignment
Remarks:The lecture will be offered by Dr. Janik and Dr. Leonowicz as a one week block
Module Components:Advanced Signal Processing Methods (lecture)
Components to be offered in the Current Semester:
  • no assignment