**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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