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Francesco Renna

2 accepted papers

2016

A general framework for reconstruction and classification from compressive measurements with side information

ICASSP 2016accepted

We develop a general framework for compressive linear-projection measurements with side information. Side information is an additional signal correlated with the signal of interest. We investigate the impact of side information on classification and signal recovery from low-dimensional measurements.…

Cited by 0SourceScholar
2016

Signal reconstruction in the presence of side information: The impact of projection kernel design

ICASSP 2016accepted

This paper investigates the impact of projection design on the reconstruction of high-dimensional signals from low-dimensional measurements in the presence of side information. In particular, we assume that both the signal of interest and the side information are described by a joint Gaussian mixtur…

Cited by 0SourceScholar