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| 粒子群优化在心电信号稀疏分解中的应用 | |
| 引用本文： | 王春光,徐安凤,孙即祥,王红.粒子群优化在心电信号稀疏分解中的应用[J].计算机工程与设计,2008,29(16). |
| 作者姓名： | 王春光 徐安凤 孙即祥 王红 |
| 作者单位： | 1. 国防科学技术大学,电子科学与工程学院,湖南,长沙,410073 2. 南阳师范学院计算机系,河南,南阳,473061 3. 北京跟踪与通信技术研究所,北京,100094 |
| 摘 要： | 心电信号的稀疏分解能得到稀疏表示形式,便于心电信号的压缩、波形检测识别等.但稀疏分解计算非常复杂,是一个NP问题.粒子群优化是群体智能优化算法,算法简单易于实现,且搜索效果好,已在很多实际应用中得到验证.把粒子群优化算法用于心电信号稀疏分解的最优匹配原子的搜索,用这种群体智能优化搜索算法代替全局搜索能降低稀疏分解复杂度,同时减少稀疏分解的超完备字典对存储空间的占用.实验结果表明,该方法切实可行. |
| 关 键 词： | 粒子群优化 稀疏分解 心电信号 字典 匹配追踪 |
Algorithm of particle swarm optimization used in sparse decomposition of electrocardiograms |
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| WANG Chun-guang,XU An-feng,SUN Ji-xiang,WANG Hong.Algorithm of particle swarm optimization used in sparse decomposition of electrocardiograms[J].Computer Engineering and Design,2008,29(16). | |
| Authors: | WANG Chun-guang XU An-feng SUN Ji-xiang WANG Hong |
| Affiliation: | WANG Chun-guang1,XU An-feng2,SUN Ji-xiang1,WANG Hong3(1.College of Electronic Science , Engineering,National University of Defense Technology,Changsha 410073,China,2.Department of Computer Science,Nanyang Normal University,Nanyang 473061,3.Beijing Institute of Tracking , Telecommunications Technology,Beijing 100094,China) |
| Abstract: | Sparse decomposition of electrocardiograms(ECG) can get sparse representation of ECG,and then next disposal such as compression,wave orientation and identify,can use this sparse representation expediently.But sparse decomposition is very complex(NP problem).Particle swarm optimization is a kind of optimization algorithm using colony aptitude.Its theory is simple to be realized,and the result of searching is good.These have been proved in some applications.To reduce complexity of sparse decomposition and spa... |
| Keywords: | particle swarm optimization sparse decomposition ECG dictionary match pursuit(MP) |
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