Pith. sign in

REVIEW

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1310.1612 v1 pith:SMVOXZ36 submitted 2013-10-06 physics.med-ph physics.ins-det

Application of Compressive Sensing Theory for the Reconstruction of Signals in Plastic Scintillators

L. Raczy\'nski , P. Kowalski , T. Bednarski , P. Bia{\l}as , E. Czerwi\'nski , {\L}. Kap{\l}on , A. Kochanowski , G. Korcyl
show 17 more authors
J. Kowal T. Kozik W. Krzemie\'n M. Molenda P. Moskal Sz. Nied\'zwiecki M. Pa{\l}ka M. Pawlik Z. Rudy P. Salabura N.G. Sharma M. Silarski A. S{\l}omski J. Smyrski A. Strzelecki W. Wi\'slicki M. Zieli\'nski
This is my paper
classification physics.med-ph physics.ins-det
keywords signalstheorycompressivemeasurementsplasticreconstructrepresentationscintillators
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

Compressive Sensing theory says that it is possible to reconstruct a measured signal if an enough sparse representation of this signal exists in comparison to the number of random measurements. This theory was applied to reconstruct signals from measurements of plastic scintillators. Sparse representation of obtained signals was found using SVD transform.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.