检索结果-南通市图书馆

ON THE CONDITION FOR CONSISTENCY OF RESAMPlING ESTIMATORS OF VARIANCE OF TRIMMED l-statistics

在线全文

学校读者我要写书评

暂无评论

引用

Systems Science and Mathematical Sciences 1997年第3期10卷 208-216页

作者： SHI Jian(Institute of Systems Science, Academia Sinica, Beijing 100080, China)ZHENG Zhongguo(Department of Probability and statistics, Peking University, Beijing 100871, China)

In this paper, a counter-example is presented to show that conditions given by[1] and [2] are not enough to guarantee the consistency of resampling estimators of varianceof trimmed l-statistics. To this end, a rather weak but sufficient condition is proposedto ensure the strong consistency. lastly, a declaration in [3] on the generalization of amodified resampling procedure is found to be invalid.

关键词： l-statistics bootstrap random weighting variance estimation

BOOTSTRAPPING PP l-statistics FOR TESTS

在线全文

学校读者我要写书评

暂无评论

引用

Systems Science and Mathematical Sciences 1991年第2期4卷 158-172页

作者：施沛德李国英 Institute of Systems Science Academia SinicaBeijing 100080China

Some bootstrap approximations of the asymptotic distributions of PP l-statistics whichwere proposed by the authors in[7]are *** statistics and their asymptotic propertiesare *** examples and the numerical results are ... 详细信息

关键词： Bootstrap projection pursuit simulation l-statistics location and dispersion tests

Particle swarm optimization for rigid body reconstruction after micro-Doppler removal in radar analysis

在线全文

学校读者我要写书评

暂无评论

引用

Journal of Systems Engineering and Electronics 2020年第3期31卷 488-499页

作者： lI Hongzhi WANG Yong School of Electronics and Information Engineering Harbin Institute of TechnologyHarbin 150001China Key laboratory of Marine Environmental Monitoring and Information Processing Ministry of Industry and Information TechnologyHarbin 150001China

The rotating micro-motion parts produce micro-Doppler(m-D)effects which severely influence the quality of inverse synthetic aperture radar(ISAR)imaging for complex moving ***,a method based on short-time Fourier transform(STFT)and l-statistics to remove m-D effects is proposed,which can separate the rigid body parts from interferences introduced by rotating ***,during the procedure of removing m-D parts,the useful data of the rigid body parts are also removed together with the m-D *** summing the rest STFT samples,the result will be affected.A novel method is proposed to recover the missing values of the rigid body parts by the particle swarm optimization(PSO)*** PSO,each particle corresponds to a possible phase estimation of the missing *** best particle is selected which has the minimal energy of the side lobes according to the best fitness value of *** simulation and measured data results demonstrate the effectiveness of the proposed method.

关键词： micro-Doppler(m-D) inverse synthetic aperture radar(ISAR) l-statistics particle swarm optimization(PSO)