Publications associées à Simulation of 1D ARPES Data and Measures to recover the underlying Signal

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Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Michaël Unser, Julien René Pierre Fageot, Emrah Bostan

We study the statistics of wavelet coefficients of non-Gaussian images, focusing mainly on the behaviour at coarse scales. We assume that an image can be whitened by a fractional Laplacian operator, which is consistent with an

∥ω∥ ^{ -\gamma }

spectral ...

IEEE2014

Simulation of 1D ARPES Data and Measures to recover the underlying Signal

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Statistical physics approaches to subnetwork dynamics in biochemical systems

Direct unwrapped phase estimation in phase shifting interferometry using Levenberg-Marquardt algorithm

Temporal Readout Noise Analysis and Reduction Techniques for Low-Light CMOS Image Sensors

Fringe filtering technique based on local signal reconstruction using noise subspace inflation

Ultra Low Noise CMOS Image Sensors

Modeling the Importance of Faces in Natural Images

Compute-and-Forward using nested linear codes for the Gaussian MAC

Design optimization for low light CMOS image sensors readout chain

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Design and Implementation of CMOS Image Sensors for Biomedical Applications

Temporal Readout Noise Analysis and Reduction Techniques for Low-Light CMOS Image Sensors

Design and Implementation of CMOS Image Sensors for Biomedical Applications

Ultra Low Noise CMOS Image Sensors

Direct unwrapped phase estimation in phase shifting interferometry using Levenberg-Marquardt algorithm

Compute-and-Forward using nested linear codes for the Gaussian MAC

Modeling the Importance of Faces in Natural Images

Statistical physics approaches to subnetwork dynamics in biochemical systems

Fringe filtering technique based on local signal reconstruction using noise subspace inflation

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Design optimization for low light CMOS image sensors readout chain