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北京石油化工学院2026年研究生招生接收调剂公告
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唐君丽

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[求助] 求翻译题目和摘要

Class of Widely Linear Complex Kalman Filters
Abstract——Recently,a class of widely linear (augmented) complex-valued Kalman filters,that make use of augmented complex statistics, have been proposed for sequential state space estimation of thegenerality of complex signals.This was achieved in the context of neural network training, and has allowed for a unified treatment of both second-order circular and noncircular signals ,that is ,both those with rotation invariant and rotation-dependent distributions. In this paper, we revisit the augmented complex KF,augmented complex extended KF ,and augmented complex unscented Kf in a more general comtext,and analyze their performance for different degrees of noncircularity of input and the state and measurement noises. For rigor,a theoretical bound for the performance advantage of widely linear  KFs over their strictly linear counterparts is provided.The analysis also addresses the duality with bivariate real-valued KFs,together with several issues of implementation.Simulations using both synthetic and real world proper and inproper signals support the analysis.

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【答案】应助回帖

★ ★ ★ ★ ★ ★
phu_grassman: 金币+1, thanks 2012-10-28 22:06:51
唐君丽: 金币+5, 翻译EPI+1, ★★★很有帮助, 谢谢咯 2012-10-29 15:58:28
类线性复杂广泛的卡尔曼滤波器抽象——最近,一个类广泛的线性(扩大)复杂的卡尔曼滤波器价值,使使用复杂的统计数字增加,建议连续状态空间的thegenerality估计的复杂信号.这是在这一范畴内取得的神经网络训练,使人们对一个统一处理的第二个订单通知,noncircular信号,这就是,这两个旋转不变和旋转的分布。
改变,更进一步!
2楼2012-10-28 22:03:28
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