计算机应用研究2017，Vol.34Issue(6)：1740-1744,5.DOI:10.3969/j.issn.1001-3695.2017.06.031
基于K-SVD超声渡越时间获取方法研究
Research on acquisition method of ultrasonic transit time based on K-SVD
摘要
Abstract
For the non-accurate decomposition of common matching pursuit in the signal sparse decomposition,this paper proposed to adopt an acquisition method of ultrasonic transit time based on the decomposition of K-SVD singular values,through K-SVD training and locally search adaptive atoms by combining the orthogonal matching pursuit,obtained the redundant dictionary of ultrasonic echo signals to increase the speed and accuracy of signal sparse decomposition.With the 3D finite element model of filling-liquid fouling pipelines based on the Comsol Multipysics simulation software,this paper researched characteristic rules of ultrasonic echo spread and achieved the echo extraction of fouling pipelines.Besides,it applied the K-SVD algorithm into the processing of ultrasonic-echo simulation signals and echo detection signals of heat-exchanger fouling pipelines,compared it with the original training of wavelet training dictionary.And results indicate that:with the K-SVD dictionary learning algorithm,it can achieve the better noise reduction result and extraction of fouling feature information while improving the signal sparse decomposition,which is of actual significance for the processing of ultrasonic detection signals.关键词
稀疏表示/完备字典/超声检测/正交匹配追踪/K-SVDKey words
sparse representation/complete dictionary/ultrasonic detection/OMP/K-SVD分类
信息技术与安全科学引用本文复制引用
孙灵芳,徐曼菲,李霞,朴亨..基于K-SVD超声渡越时间获取方法研究[J].计算机应用研究,2017,34(6):1740-1744,5.基金项目
国家自然科学基金资助项目(51176028) （51176028）
吉林省科技发展计划资助项目(20140204030SF) （20140204030SF）
