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作 者:刘世金[1] 张榆锋[1] 刘大利[2] 高永丽[1] 郑乐平[2]
机构地区:[1]云南大学电子工程系,云南昆明650091 [2]湖北国土资源职业学院信息工程系,湖北荆州434002
出 处:《云南大学学报(自然科学版)》2005年第S2期266-270,共5页Journal of Yunnan University(Natural Sciences Edition)
基 金:云南省科技计划项目资助项目(2002PY10);云南省自然科学基金项目资助项目(2002COOQZ)
摘 要:研究了常用自适应滤波算法的收敛性能和复杂度,并针对NLMS算法收敛响应慢、RLS算法计算复杂度高,采用干扰对消APA算法检测(提取)强背景噪声中的弱胎心信号.实验结果表明,本方法提取效果好、收敛速度快、精确度高,算法性能与RLS算法相当,但计算复杂度低于RLS算法.The convergence speed and computational complexity of various adaptive filtering algorithms are studied by comparison.For the defects that Normalized Least Mean Square(NLMS) algorithm is of slow convergence and Recursive Least Square(RLS) algorithm is of large computational complexity,a method based on Affine Projection Algorithm(APA) adaptive interference cancellation filtering is used to extract Fetal Electrocardio-signals(FECS) here.The experiments show that the performance of the FECS extraction based on APA interference cancellation is good,and in some cases,the APA provides the large gain of convergence speed and accuracy that can be achieved by using RLS algorithm,but lower computing complexity as compared to RLS algorithm.
分 类 号:R318[医药卫生—生物医学工程]
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