Wavelet Denoising Analysis Based on Cooperative Quantum-Behaved Particle Swarm Optimization

ZHOU Jianxin; ZHOU Fengqi

doi:10.3969/j.issn.1671-637x.2022.01.010

Journals >Electronics Optics & Control >Volume 29 >Issue 1 >Page 47 > Article

Electronics Optics & Control
Vol. 29, Issue 1, 47 (2022)

Wavelet Denoising Analysis Based on Cooperative Quantum-Behaved Particle Swarm Optimization

ZHOU Jianxin¹ and ZHOU Fengqi^1、2

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2022.01.010 Cite this Article

ZHOU Jianxin, ZHOU Fengqi. Wavelet Denoising Analysis Based on Cooperative Quantum-Behaved Particle Swarm Optimization[J]. Electronics Optics & Control, 2022, 29(1): 47 Copy Citation Text

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References

[6] LIU W J,DONG H B,HE J,et al.A cooperative quantum particle swarm optimization based on multiple groups［C］//IEEE International Conference on Systems,Man, and Cybernetics.Banff:IEEE,2017:3213-3218.

[10] VAN DEN BERGH F,ENGELBRECHTA P.A cooperative approach to particle swarm optimization［J］.IEEE Transactions on Evolutionary Computation,2004,8(3):225-239.

[11] GAO H,XU W B,SUN J,et al.Multilevel thresholding for image segmentation through an improved quantum-behaved particle swarm algorithm［J］.IEEE Transactions on Instrumentation and Measurement,2010,59(4):934-946.

ZHOU Jianxin, ZHOU Fengqi. Wavelet Denoising Analysis Based on Cooperative Quantum-Behaved Particle Swarm Optimization[J]. Electronics Optics & Control, 2022, 29(1): 47

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