Course: Advanced Signal Processing

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Course title Advanced Signal Processing
Course code AURP/ADPZS
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 10
Language of instruction Czech, English
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Kubalčík Marek, prof. Ing. Ph.D.
  • Křesálek Vojtěch, doc. RNDr. CSc.
Course content
- Analysis of signals in time and frequency domains - Advanced methods for design of digital FIR and IIR filters - Comparison of methods for design of digital filters - State-space description of digital filters and canonic forms - Quantization effects in digital filters - Implementation of digital filters by technical means - Digitization of iamges - Geometric transformations - Image processing using filters - Description and analysis of random signals

Learning activities and teaching methods
Exercises on PC
prerequisite
Knowledge
Signal processing Modelling and identification of random signals
Signal processing Modelling and identification of random signals
learning outcomes
Comparison of methods for design of digital filters
Comparison of methods for design of digital filters
State-space description of digital filters and canonic forms
State-space description of digital filters and canonic forms
Quantization effects in digital filters
Quantization effects in digital filters
Description and analysis of random signals
Description and analysis of random signals
Advanced analysis of signals in time and frequency domains
Advanced analysis of signals in time and frequency domains
Skills
Advanced methods for design of digital FIR and IIR filters
Advanced methods for design of digital FIR and IIR filters
Implementation of digital filters by technical means
Implementation of digital filters by technical means
Digitization of images
Digitization of images
Image processing using filters
Image processing using filters
Geometric transformations
Geometric transformations
teaching methods
Knowledge
Exercises on PC
Exercises on PC
assessment methods
Composite examination (Written part + oral part)
Composite examination (Written part + oral part)
Recommended literature
  • Candy, J. V. Model-based signal processing. Hoboken, N.J. : IEEE Press : Wiley-Interscience, 2006. ISBN 0-471-23632-2.
  • Davídek, Vratislav. Analogové a číslicové filtry. Vyd. 2. Praha : Vydavatelství ČVUT, 2004. ISBN 80-01-03026-1.
  • DINIZ, Paulo, DA SILVA, Eduardo, NETTO, Sergio. Digital Signal Processing. Cambridge University Press, 2010. ISBN 978-0-521-88775-5.
  • Hlaváč, V., Sedláček, M. Zpracování signálů a obrazů. Praha : ČVUT, 2000. ISBN 80-01-02114-9.
  • KAY, Steven. Fundamentals of Statistical Signal processing: Estimation Theory. Englewood Cliffs, NJ: Prentice Hall,Inc., 1993. ISBN 978-0135041352.
  • LI, Tan. Digital Signal Processing, Fundamentals and Applications. Elsevier, 2008. ISBN 978-0-12-374090-8.
  • Nevřiva, P. Analýza signálů a soustav. Praha : BEN, 2000. ISBN 80-7300-004-0.
  • Oppenheim, Alan V. Signals & systems. 2nd ed. Upper Saddle River : Prentice Hall, 1997. ISBN 0-13-814757-4.
  • Vích, Robert. Číslicové filtry. Vyd. 1. Praha : Academia, 2000. ISBN 80-200-0761-X.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester