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Improved Reconstruction Algorithm of Wireless Sensor Network Based on BFGS Quasi-Newton Method

Improved Reconstruction Algorithm of Wireless Sensor Network Based on BFGS Quasi-Newton Method

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2791618449

Improved Reconstruction Algorithm of Wireless Sensor Network Based on BFGS Quasi-Newton Method

About this item

Full title

Improved Reconstruction Algorithm of Wireless Sensor Network Based on BFGS Quasi-Newton Method

Publisher

Basel: MDPI AG

Journal title

Electronics (Basel), 2023-03, Vol.12 (6), p.1267

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Aiming at the problems of low reconstruction rate and poor reconstruction precision when reconstructing sparse signals in wireless sensor networks, a sparse signal reconstruction algorithm based on the Limit-Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) quasi-Newton method is proposed. The L-BFGS quasi-Newton method uses a two-loop recursion algorithm...

Alternative Titles

Full title

Improved Reconstruction Algorithm of Wireless Sensor Network Based on BFGS Quasi-Newton Method

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2791618449

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2791618449

Other Identifiers

ISSN

2079-9292

E-ISSN

2079-9292

DOI

10.3390/electronics12061267

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