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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Veröffentlicht in:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) S. 5523 - 5527
Hauptverfasser:	Sun, Yang, Scarlett, Jonathan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 23.05.2022
Schlagworte:	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
Online-Zugang:	Volltext
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