ITERATED

作品数：137被引量：159H指数：7
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A Chaotic Pulse Train Generator Based on Henon Map
《Intelligent Automation & Soft Computing》2023年第7期1197-1207,共11页Babu H.Soumya N.Vijayakumar K.Gopakumar 
The Henon map forms one of the most-studied two-dimensional discrete-time dynamical systems that exhibits chaotic behavior.The Henon map takes a point(Xn,Yn)in the plane and maps it to a new point(Xn+1,Yn+1).In this p...
关键词：CHAOS iterated maps henon map chaotic pulse train lyapunov exponents 
Probabilistic data association algorithm based on ensemble Kalman filter with observation iterated update
《High Technology Letters》2015年第3期301-308,共8页胡振涛 Fu Chunling Li Junwei 
Supported by the National Nature Science Foundation of China(No.61300214);the Science and Technology Innovation Team Support Plan of Education Department of Henan Province(No.13IRTSTHN021);the National Natural Science Foundation of Henan Province(No.132300410148);the Science and Technology Research Key Project of Education Department of Henan Province(No.13A413066);the Postdoctoral Science Foundation of China(No.2014M551999);the Funding Scheme of Young Key Teacher of Henan Province Universities(No.2013GGJS-026);the Postdoctoral Fund of Henan Province(No.2013029);the Outstanding Young Cultivation Foundation of Henan University(No.0000A40366)
Aiming at improving the observation uncertainty caused by limited accuracy of sensors,and the uncertainty of observation source in clutters,through the dynamic combination of ensemble Kalman filter(EnKF) and probabili...
关键词：nonlinear filter observation iterated update ensemble Kalman filter （EnKF） probabilistic data association （PDA） 
Particle filter based on iterated importance density function and parallel resampling被引量：1
《Journal of Central South University》2015年第9期3427-3439,共13页武勇 王俊 曹运合 
Project(61372136) supported by the National Natural Science Foundation of China
The design, analysis and parallel implementation of particle filter(PF) were investigated. Firstly, to tackle the particle degeneracy problem in the PF, an iterated importance density function(IIDF) was proposed, wher...
关键词：particle filter iterated importance density function least squares estimate parallel resampling graphics processing unit 
Maneuvering target tracking algorithm based on cubature Kalman filter with observation iterated update被引量：4
《High Technology Letters》2015年第1期39-45,共7页胡振涛 Fu Chunling Cao Zhiwei Li Congcong 
Supported by the National Nature Science Foundations of China(No.61300214,U1204611,61170243);the Science and Technology Innovation Team Support Plan of Education Department of Henan Province(No.13IRTSTHN021);the Science and Technology Research Key Project of Education Department of Henan Province(No.13A413066);the Basic and Frontier Technology Research Plan of Henan Province(No.132300410148);the Funding Scheme of Young Key Teacher of Henan Province Universities;the Key Project of Teaching Reform Research of Henan University(No.HDXJJG2013-07)
Reasonable selection and optimization of a filter used in model estimation for a multiple model structure is the key to improve tracking accuracy of maneuvering target.Combining with the cubature Kalman filter with it...
关键词：maneuvering target tracking nonlinear filtering cubature Kalman filter（CKF） interacting multiple model（IMM） 
New Iterated Decoding Algorithm Based on Differential Frequency Hopping System被引量：1
《Journal of Beijing Institute of Technology》2005年第1期27-31,共5页梁富林 罗伟雄 
A new iterated decoding algorithm is proposed for differential frequency hopping (DFH) encoder concatenated with multi-frequency shift-key (MFSK) modulator. According to the character of the frequency hopping (FH) pat...
关键词：differential frequency hopping (DFH) maximum a posteriori (MAP) non-coherent detection 
DISTRIBUTION FREE LAWS OF THEITERATED LOGARITHM FOR KERNELESTIMATOR OF REGRESSION FUNCTIONBASED ON DIRECTIONAL DATADISTRIBUTION FREE LAWS OF THEITERATED LOGARITHM FOR KERNELESTIMATOR OF REGRESSION FUNCTIONBASED ON DIRECTIONAL DATA被引量：1
《Chinese Annals of Mathematics,Series B》2000年第4期489-498,共页
Project supported by the National Natural Science Foundation of China (Nos. 19631040; 19971085), the Doctoral Program Foundatio
The authors derive laws of the iterated logarithm for kernel estimator of regression function based on directional data. The results are distribution free in the sense that they are true for all distributions of desig...
关键词：Directional data LAWS of the ITERATED logrithm Regression function KERNEL ESTIMATOR STRONG convergence rates 
DISTRIBUTION FREE LAWS OF THEITERATED LOGARITHM FOR KERNELESTIMATOR OF REGRESSION FUNCTIONBASED ON DIRECTIONAL DATADISTRIBUTION FREE LAWS OF THEITERATED LOGARITHM FOR KERNELESTIMATOR OF REGRESSION FUNCTIONBASED ON DIRECTIONAL DATA被引量：2
《Chinese Annals of Mathematics,Series B》2000年第4期489-498,共10页WANGXIAOMING ZHAOLINCHENG WUYAOHUA 
Project supported by the National Natural Science Foundation of China (Nos. 19631040; 19971085), the Doctoral Program Foundatio
The authors derive laws of the iterated logarithm for kernel estimator of regression function based on directional data. The results are distribution free in the sense that they are true for all distributions of desig...
关键词：Directional data Laws of the iterated logrithm Regression function kernel estimator Strong convergence rates 
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