UE E7-C - Automatic control and signals

Level of knowledge :

N1: beginner
N2: intermediate
N3: confirmed
N4: expert

Knowledge expected at the end of the course

Acquire the basics of a digital signal processing chain (principle of sampling a continuous signal and theoretical basis of reconstruction): (C1, N1)
Acquire the notions of discrete-time system, linear system and invariance: (C1, N1)
Acquire the basics of the convolution product in the discrete case: (C1, N1)
Acquire the formulations of the Fourier transform in different contexts (continuous for a discrete signal, discrete for a discrete signal) and the basics of frequency analysis (apodization, etc.): (C1, N1).): (C1, N1)
Know the classification of linear filters, their properties (causality, pole stability and zeros obtained by z-transform), their characterization (impulse and frequency response, linear phase and minimum phase filters): (C1, N1)
Acquire the basics of a baseband and carrier-frequency digital communications chain: (C1, N1)
Understand the principles of transmitting and receiving binary information: (C1, N1)
Know the physical layer of the most widely used digital communications standards (GSM, WIFI, ADSL, ADSB, etc.): (C1, N1).): (C1, N1)

Learning outcomes in terms of abilities, skills and attitudes expected at the end of the course

Handle a digital signal in Matlab: (C2, N1)
Master the use of the Fourier transform to analyze the frequency content of a digital signal (calculation and display, windowing, resolution): (C2, N1)
Synthesize a digital signal from an analytical model: (C2, N1)
Recognize the nature of a filter: (C2, N1)
Calculate the frequency response of a filter and analyze its properties (linearity, stability): (C2, N1)
Validate a frequency denoising chain (noise generation, application of a linear filter and calculation of a signal-to-noise ratio): (C5, N1)