Concept
Échantillonnage (statistiques)
MOOCs associés (22)
Digital Signal Processing [retired]
The course provides a comprehensive overview of digital signal processing theory, covering discrete time, Fourier analysis, filter design, sampling, interpolation and quantization; it also includes a
Digital Signal Processing
Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By rewo
Digital Signal Processing I
Basic signal processing concepts, Fourier analysis and filters. This module can
be used as a starting point or a basic refresher in elementary DSP
Digital Signal Processing II
Adaptive signal processing, A/D and D/A. This module provides the basic
tools for adaptive filtering and a solid mathematical framework for sampling and
quantization
Digital Signal Processing III
Advanced topics: this module covers real-time audio processing (with
examples on a hardware board), image processing and communication system design.
Digital Signal Processing IV
Advanced topics: this module covers real-time audio processing (with
examples on a hardware board), image processing and communication system design.
Path Integral Methods in Atomistic Modelling
The course provides an introduction to the use of path integral methods in atomistic simulations.
The path integral formalism allows to introduce quantum mechanical effects on the equilibrium and (ap
Path Integral Methods in Atomistic Modelling
The course provides an introduction to the use of path integral methods in atomistic simulations.
The path integral formalism allows to introduce quantum mechanical effects on the equilibrium and (ap
Synchrotrons and X-Ray Free Electron Lasers (part 1)
Synchrotrons and X-Ray Free Electron Lasers (part 1)
Synchrotrons and X-Ray Free Electron Lasers (part 2)
The first MOOC to provide an extensive introduction to synchrotron and XFEL facilities and associated techniques and applications.