Time-Frequency Energy Distributions Meet Compressed Sensing

Abstract

In the case of multicomponent signals with amplitude and frequency modulations, the idealized representation which consists of weighted trajectories on the time-frequency (TF) plane, is intrinsically sparse. Recent advances in optimal recovery from sparsity constraints thus suggest to revisit the issue of TF localization by exploiting sparsity, as adapted… (More)
DOI: 10.1109/TSP.2010.2044839

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@article{Flandrin2010TimeFrequencyED, title={Time-Frequency Energy Distributions Meet Compressed Sensing}, author={Patrick Flandrin and Pierre Borgnat}, journal={IEEE Transactions on Signal Processing}, year={2010}, volume={58}, pages={2974-2982} }