Data-Driven Algorithms for Gaussian Measurement Matrix Design in Compressive Sensing

In this paper, we provide two data-driven algorithms for learning compressive sensing measurement matrices with Gaussian entries. In contrast to the ubiquitous i.i.d. Gaussian design, we associate different variances with different signal entries, so that we may utilize training data to focus more e...

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Vydané v:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 5523 - 5527
Hlavní autori:	Sun, Yang, Scarlett, Jonathan
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 23.05.2022
Predmet:	Compressive sensing data-driven techniques generative priors measurement matrix design Power measurement Sensors Signal processing Signal processing algorithms Sparse matrices Training Training data
ISSN:	2379-190X
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