Teaching activities
Since 2008, Nicolas Dobigeon is with the Electronics & Signal Processing Department of INP-ENSEEIHT, University of Toulouse (France). He is currently involved in the teaching of the following courses at an undergraduate and graduate levels.
For lecture supports, click on the links when available (in french).
- Single and multiple-valued functions
- Analytic functions
- Integration and Cauchy theorem
- Taylor and Laurent series
- Residue theorem
- Z transform
- Laplace transform
- Discrete and continuous random variables
- Mathematical Expectation
- Change of variables
- Extension to random vectors
- Properties of Gaussian vectors
- Estimation theory (maximum likelihood, moment and Bayesian estimators)
- Regression (linear and logistic)
- Hypothesis testing (Neyman-Pearson, Chi2, Kolmogorov)
- Discrete and continuous random variables
- Estimation, detection
- Deterministic and random signals
- Linear/Non-linear filtering
- Sampling
- Sampling and quantization
- Discrete Fourier Transform
- FIR/IIR Filtering: stability, windowing, direct synthesis
- Optimization of FIR and IIR filters: (non-)optimal synthesis, stabilization
- Digital effects in linear filters
- Non-standard structures: lattice/ladder, rational, multi-rate
- deconvolution, restoration
- penalization, regularization
- Bayesian regularization
- Markov chain Monte Carlo methods