The application of iterative hard threshold algorithm based on nonlinear optimal compression sensing and electronic information technology in the field of automatic control

To improve the accuracy effect of the iterative hard threshold, an improved iterative hard threshold (IHT) method is proposed. The specific contents of this method include the principle of an IHT algorithm based on compression sensing (nonlinear optimization), weighted least squares improvement, the...

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Bibliographic Details
Published in:Nonlinear engineering Vol. 12; no. 1; pp. 5451 - 3
Main Authors: Jiang, Kun, Bradha, M.
Format: Journal Article
Language:English
Published: Berlin De Gruyter 01.01.2023
Walter de Gruyter GmbH
Subjects:
Algorithms
auto-control
Automatic control
electronic information technology
iterative hard threshold algorithm
Iterative methods
Least squares
Optimization
Signal reconstruction
Signal to noise ratio
ISSN:2192-8029, 2192-8010, 2192-8029
Online Access:Get full text
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Summary:To improve the accuracy effect of the iterative hard threshold, an improved iterative hard threshold (IHT) method is proposed. The specific contents of this method include the principle of an IHT algorithm based on compression sensing (nonlinear optimization), weighted least squares improvement, the establishment of an IHT algorithm model based on weighted least squares improvement, and the experimental research of traditional algorithms and improved algorithms on one-dimensional signal reconstruction. The results show that the improved IRLSIHT algorithm takes 8.37, 29.63, and 30.86 s when the sampling rate is 0.2, 0.5, and 0.8, respectively, and the signal-to-noise ratio is 20.11, 27.47, and 31.82 dB, respectively. Compared with the traditional IHT algorithm, it takes a long time, which is a deficiency, but the signal-to-noise ratio is the largest, and the improved algorithm improves the accuracy. It has been proven that combining the method proposed in this article with automatic control can significantly save time and increase industrial output.
Bibliography:ObjectType-Article-1
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content type line 14
ISSN:2192-8029
2192-8010
2192-8029
DOI:10.1515/nleng-2022-0305