Learning-based subsampling

The present invention concerns a method of sampling a test signal. The method comprises: acquiring (21) training signals sampled at a plurality of sampling locations; running (23) an optimization procedure for determining an index set of n indices, representing a subset of the sampling locations, that maximize a function, over the training signals, of a quality parameter representing how well a given training signal is represented by the n indices; and sampling (25) the test signal at the sampling locations represented by the n indices.


Année
2017
Mots-clefs:
Autres identifiants:
EPO Family ID: 58523033
Numéro(s) de brevet :
Laboratoires:




 Notice créée le 2017-05-02, modifiée le 2019-12-05


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