Signal processing: Conventional Techniques
This course enables future users of signal processing to acquire the essential basic methods and their rules of use.
The course lasts 5 days (35 hours) and includes:
- 21 hours of lectures
- 4 practical work sessions on Matlab
The course is intended to provide future users (engineers, physicists) with modern methods of signal processing, the essential basis for their use.
Emphasis will be placed on the implementation of the methods, their limits (pitfalls to be avoided) and the interpretation of the results; the theoretical principles will be reduced to the minimum necessary to understand the methods.
Course level: Basic/Advanced
Basic knowledge of mathematics, with some knowledge of the LAPLACE transform. Knowledge of the fundamentals of probability theory is also desirable.
Axel GARCIA PENA:
Lecturer-Researcher in Signal Processing at SIGNAV, École Nationale de l’Aviation Civile (ENAC), Toulouse.
- Deterministic signals and random signals
- Fourier Transformation
- Power, energy
- Correlation function, spectrum
- Convolution, filtering
- Signal digitization
- Sampling, Shannon's theorem
- Quantification, quantization error
- Discrete Fourier Transform (DFT)
- Fast Fourier Transform (FFT)
- Digital filtering
- Z transform
- Finite Impulse Response (FIR) Filters
- Infinite Impulse Response (IIR) Filters
- Signal parameters: average and power
- Correlation functions
- Spectral Density of Power (DSP)
- New estimation methods
- Parametric models
- Auto-Regressive (AR), Moderate-Adjusted (MA) Methods
- Prony analysis
- Subspace methods (Pisarenko, MUSIC, etc.)
- Each section is illustrated by CAI in the computer room
Scheduled in French:
TOULOUSE: 3 to 7 May 2021
For the English realization, please, consult us.
€2,670 excluding tax (20% VAT)