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Basics - Fourier Transform, sampling, image analysis, filtering, introduction to estimation (mean value, standard deviation, chi2), impulse response, transfer function, convolution, random signals, correlation, power spectrum density, noise reduction.

Lecturers:

- Prof. Gérard Rousset - UPD

- Prof. Guillaume Patanchon - UPD

- Prof. Damien Gratadour - OBSPM

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