Contenu de la formation
Learning OutcomesBy the end of this course, the students will be able to:
- characterize the main elements of a digital signal processing scheme, including ADC, DAC, anti-aliasing filter and reconstruction filter,
- compute the discrete Fourier transform, the z-transform of discrete signal,
- implement digital filters of the FIR or IIR type, and study the stability and the phase behavior of digital filters,
- compute the auto-correlation, cross correlation and PSD of discrete random signals,
- understand the need for designing an adaptive digital filter with coefficients computed based on LMS or RLS algorithm.
- use Matlab for simulations of digital signal processing.
Items
- Introduction
- Sampling, ADC and DAC,
- Discrete Fourier transform, FFT and z-transform,
- FIR filtering
- Design of FIR filters and applications
- IIR filtering
- Design of IIR filters and applications
- Introduction to discrete random signal processing,
- Adaptive filters
- Project: students will be asked to put in practice assimilated notions to carry out a project describing a practical application. This project will be developed using MATLAB and dedicated digital signal processing platforms.
Description des modalités de validation
- Project mark plus final exam.
Project (40%) and Exam (60%).