传感技术学报2024，Vol.37Issue(6)：1049-1055,7.DOI:10.3969/j.issn.1004-1699.2024.06.015
基于遗传算法优化VMD-ESSA的HIFU回波信号降噪研究
Research on HIFU Echo Signal De-Noising Based on Genetic Algorithm Optimized VMD-ESSA
摘要
Abstract
Due to the high intensity focused ultrasound(HIFU)signal is mixed with environmental noise,it is proposed to use genetic al-gorithm to optimize the variational modal decomposition(VMD),combined with the energy-averaged method(EAM)and singular spec-trum analysis(SSA)to reduce its noise.Genetic algorithm makes VMD more anti-interference,and Singular spectrum analysis can make up for the imperfection of energy mean denoising.Simulation experiments show that compared with GA-VMD-E,GA-VMD-SSA,and VMD-ESSA de-noise methods,the proposed method has higher signal-to-noise ratio,and the mean square error and maximum error is smaller.The superiority of the proposed method is proved from the aspects of spectrum and noise reduction rate in the measured signal,providing a more effective preprocessing method for analyzing biological tissue damage through HIFU echo signal.关键词
高强度聚焦超声/去噪/变分模态分解/遗传算法/奇异谱分析Key words
high intensity focused ultrasound(HIFU)/denoising/variational mode decomposition(VMD)/genetic algorithms(GA)/sin-gular spectrum analysis(SSA)分类
信息技术与安全科学引用本文复制引用
蒋智伟,赵雨洁,李吉祥,邹孝,钱盛友..基于遗传算法优化VMD-ESSA的HIFU回波信号降噪研究[J].传感技术学报,2024,37(6):1049-1055,7.基金项目
国家自然科学基金项目(12274200,11774088) （12274200,11774088）
