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Erschienen in:
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2024 | OriginalPaper | Buchkapitel

Iterative Hard Thresholding Algorithm Using Norm Exponent

verfasst von : Bamrung Tausiesakul, Krissada Asavaskulkiet

Erschienen in: Artificial Intelligence for Sustainable Energy

Verlag: Springer Nature Singapore

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Abstract

Due to numerous data that is required to transfer in the information age, there is an increasing demand of computation and memory usage. Compressed sensing (CS) appears to be a promising technique in order to save both the computation and data storage. Iterative hard thresholding (IHT) is one of the signal recovery methods in the CS. Despite its fast computation, the IHT often delivers poor performance in the signal reconstruction accuracy. To solve this issue, we present an improved IHT in this work by using the fractional norm. Numerical simulation is demonstrated to illustrate better accuracy of the signal reconstruction than former approaches in various scenarios.

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Metadaten
Titel
Iterative Hard Thresholding Algorithm Using Norm Exponent
verfasst von
Bamrung Tausiesakul
Krissada Asavaskulkiet
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
Buch
Artificial Intelligence for Sustainable Energy

Print ISBN: 978-981-9998-32-6

Electronic ISBN: 978-981-9998-33-3

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-981-99-9833-3_6