计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2013年
9期
250-253
,共4页
心电信号%遗传算法%匹配追踪算法%信号压缩%稀疏分解%压缩比
心電信號%遺傳算法%匹配追蹤算法%信號壓縮%稀疏分解%壓縮比
심전신호%유전산법%필배추종산법%신호압축%희소분해%압축비
electrocardio signal%Genetic Algorithm(GA)%Matching Pursuit(MP) algorithm%signal compression%sparse decomposition%compression ratio
基于遗传算法(GA)的信号稀疏分解算法运算量较大。为解决该问题，提出一种基于 GA 的心电信号匹配追踪改进算法。结合心电信号的特征，根据信号特征波形建立窗函数，将信号分为能量集中和稀疏部分，分别采用不同的算法流程和参数。实验结果表明，该改进算法的运算量较原算法降低了1/3，能提高心电信号稀疏分解的运算速度和压缩处理性能。
基于遺傳算法(GA)的信號稀疏分解算法運算量較大。為解決該問題，提齣一種基于 GA 的心電信號匹配追蹤改進算法。結閤心電信號的特徵，根據信號特徵波形建立窗函數，將信號分為能量集中和稀疏部分，分彆採用不同的算法流程和參數。實驗結果錶明，該改進算法的運算量較原算法降低瞭1/3，能提高心電信號稀疏分解的運算速度和壓縮處理性能。
기우유전산법(GA)적신호희소분해산법운산량교대。위해결해문제，제출일충기우 GA 적심전신호필배추종개진산법。결합심전신호적특정，근거신호특정파형건립창함수，장신호분위능량집중화희소부분，분별채용불동적산법류정화삼수。실험결과표명，해개진산법적운산량교원산법강저료1/3，능제고심전신호희소분해적운산속도화압축처이성능。
Aiming at the higher computing complexity based on Genetic Algorithm(GA) signal sparse decomposition algorithm, the electrocardio signal Matching Pursuit(MP) improved algorithm based on GA is proposed. It is combined the characteristics of electrocardio signal, and the window functions are established by electrocardio signal characteristic waveform. The signal is divided into energy concentrated and sparse parts, and is respectively processed using a different algorithm procedure and parameters. Experimental results show that the amount of computation is reduced by 1/3 than the original algorithm, this algorithm improves the computing speed of the electrocardio signal sparse decomposition and compression processing performance.
