The course provides a comprehensive treatment of analog IC design, emphasizing new solutions and paradigms used in today's low-power electronic systems. The analysis and design are first introduced from an intuitive perspective before the rigorous treatmen ...
Les concepts de base permettant de comprendre, d'analyser et de concevoir les circuits à base d'AmpliOp, dédiés à l'acquisition et conditionnement des signaux analogiques sont traités en théorie et pratique. Cela englobe l'amplification, le filtrage, la co ...
Building up on the basic concepts of sampling, filtering and Fourier transforms, we address stochastic modeling, spectral analysis, estimation and prediction, classification, and adaptive filtering, with an application oriented approach and hands-on numeri ...
The learning outcome is to increase the knowledge of simulation methods and the role of computers in the management and the operation of electric power systems. ...
We cover the theory and applications of sparse stochastic processes (SSP). SSP are solutions of differential equations driven by non-Gaussian innovations. They admit a parsimonious representation in a wavelet basis and are relevant to coding, compressed se ...
This course deals with the analysis, design, and optimization of CMOS analog circuits, emphasizing low-power solutions required in a broad range of applications (e.g., IoT, wearables, Biosensors ...). Some examples of mixed-signal design are also addressed ...
All fundamental principles behind modern satellite positioning to acquire, track and evaluate direct and indirect satellite signals and process them in relation to example applications: Earth monitoring (landslides,...), high precision positioning (autom ...
This course deals with the analyze, design and optimization of CMOS analog circuits, emphasizing low-power solutions required in a broad range of applications (e.g. IoT, wearables, Biosensors ...). Some examples of mixed-signal design are also addressed. ...