Gerasimos Potamianos: Teaching


PREVIOUS SEMESTER(S):

SIGNALS AND SYSTEMS:
  • Level: Undergraduate.
  • Taught: SPRING 2011 (Dept. of Electrical and Computer Engineering, National Technical University of Athens); FALL 2011 (U. Thessaly).
  • Textbook(s): [GR]: S. Theodoridis, K. Berberidis, and L. Kofidis, Introduction to the Theory of Signals and Systems, Typothyto Publ., 2005; [EN]: A.V. Oppenheim and A.S. Willsky, with S. Hamid Nawab, Signals and Systems, 2nd Ed., Prentice-Hall, 1997.
  • Contents: Basic concepts and properties of continuous-time and discrete-time signals; signal convolution; Fourier series and continuous-time Fourier transform; sampling of continuous-time signals; discrete-time Fourier transform; linear-time invariant systems and their time- and frequency-domain analysis; differential equations and Laplace transform; difference equations and Z-transform; discrete Fourier transform; applications.
  • Pre-requisites: Analysis I; Analysis II; Differential Equations (Recommended).
  • Course-load: Three homework sets; midterm exam; Matlab project; final exam.


  • SPEECH AND AUDIO PROCESSING:
  • Level: Graduate / Advanced Undergraduate.
  • Taught: FALL 2011 (U. Thessaly).
  • Textbook(s): [EN]: L.R. Rabiner and R.W. Schafer, Theory and Applications of Digital Speech Processing, Prentice-Hall, 2011.
  • Contents: Review of digital signal processing, stochastic processes, and pattern recognition concepts; speech signal fundamentals; speech production; hearing and speech perception; time- and frequency-domain speech processing; cepstrum and homomorphic speech processing; linear prediction analysis of speech; speech coding; speech synthesis; automatic speech recognition; basic concepts in audio processing.
  • Pre-requisites: Digital Signal Processing; Probability Theory; Pattern Recognition (Recommended).
  • Course-load: Matlab project; final exam.


  • CURRENT SEMESTER [SPRING 2012]:

    DIGITAL SIGNAL PROCESSING:
  • Level: Undergraduate.
  • Taught: SPRING 2012 (U. Thessaly).
  • Textbook(s): [GR]: G.V. Moustakidis, Basic Techniques for Digital Signal Processing, Tziolas Pubs., 2004. [EN]: A.V. Oppenheim and R.W. Schafer, Discrete-Time Signal Processing, 3rd Ed., Prentice-Hall, 2010.
  • Contents: Review of discrete-time signals and systems; sampling; multi-rate processing; transform analysis of LTI systems; filter design and implementation; discrete Fourier transform and its fast computation; Fourier analysis of signals using DFT; parametric signal modeling; homomorphic signal processing.
  • Pre-requisite: Signals and Systems.
  • Course-load: Two homework sets; midterm exam; Matlab project; final exam.


  • ADVANCED TOPICS IN SIGNAL PROCESSING:
  • Level: Graduate / Advanced Undergraduate.
  • Taught: SPRING 2012 (U. Thessaly).
  • Textbook(s): [EN]: M.H. Hayes, Statistical Digital Signal Processing and Modeling, John Wiley and Sons, 1996.
  • Contents: Review of basic concepts of discrete-time signal processing and stochastic signal processing; signal modeling; Levinson recursion; lattice filters; Wiener filtering; spectrum estimation; adaptive filtering.
  • Pre-requisites: Digital Signal Processing; Probability Theory; Stochastic Processes (Recommended).
  • Course-load: One homework set; Matlab project; final exam.


  • Last Updated on April 20, 2012


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