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MAXIMUM: 作品数：885被引量：1474H指数：13; 导出分析报告; 相关领域：理学更多>>; 相关作者：孟庆武熊毅田铮郭小卫林伟更多>>; 相关机构：东南大学复旦大学北京师范大学清华大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划中国博士后科学基金更多>>

Maximum Correntropy High-Order Extended Kalman Filter被引量：2: 《Chinese Journal of Electronics》2022年第1期190-198,共9页SUN Xiaohui WEN Chenglin WEN Tao; supported by the National Natural Science Foundation of China(61751304,61806064,61933013,61703385,U1664264);Science and Technology Project of China Electric Power Research Institute(SGHB0000KXJS1800375)。; In this paper, a novel maximum correntropy high-order extended Kalman filter(H-MCEKF) is proposed for a class of nonlinear non-Gaussian systems presented by polynomial form. All high-order polynomial terms in the stat...; 关键词：Maximum correntropy criterion Implicit variables High-order extended Kalman filter Fixed-point equation

Geometric Mean Maximum FSVMI Model and Its Application in Carotid Artery Stenosis Risk Prediction被引量：1: 《Chinese Journal of Electronics》2021年第5期824-832,共9页ZHANG Xueying GUO Yuling LI Fenglian WEI Xin HU Fengyun HUI Haisheng JIA Wenhui; supported by the Key Research and Development Project of Shanxi Province,China(No.201803D31045,No.201603D321060);the Natural Science Foundation of Shanxi Province,China(No.201801D121138);the Project of Youth Fund of Shanxi Health Commission(No.201301029)。; Carotid artery stenosis is a serious medical condition that can lead to stroke.Using machine learning method to construct classifier model,carotid artery stenosis can be diagnosed with transcranial doppler data.We pro...; 关键词：Carotid artery stenosis risk prediction Imbalanced TCD dataset Fuzzy membership function Geometric mean maximum optimization target Fuzzy support vector machine with imbalanced regulator model

Application of Maximum Entropy Theorem in Channel Estimation被引量：2: 《Chinese Journal of Electronics》2020年第2期361-370,共10页ZHANG Zhengyu LOU Jinming JIN Mengdi YAO Yuan ZHU Jingguo; supported by the National Key Research and Development Project(No.2017YCF0803404)。; Scholars have been highly concerned with the blind channel estimation of multi-carrier modulation transmission systems, and the decoding process of block codes is usually closely related to channel parameters.Therefor...; 关键词：MULTI-CARRIER modulation transmission BLIND channel estimation MAXIMUM entropy THEOREM MAXIMUM LIKELIHOOD THEOREM

An Approximate Maximum Likelihood Algorithm for Target Localization in Multistatic Passive Radar被引量：3: 《Chinese Journal of Electronics》2019年第1期195-201,共7页WANG Jun QIN Zhaotao GAO Fei WEI Shaoming; supported by the National Natural Science Foundation of China(No.61501012,No.61671035,No.61771027);the Foundation of ATR Key Laboratory(No.6142503010202); This paper addresses the problem of target localization using Bistatic range(BR) measurements in a distributed multistatic passive radar system. The rangebased positioning technique employs multiple transmitterreceive...; 关键词：BISTATIC range (BR)measurement Multistatic passive radar Target localization APPROXIMATE MAXIMUM LIKELIHOOD (AML)algorithm MAXIMUM LIKELIHOOD (ML)function

Copy-Paste Detection Based on a SIFT Marked Graph Feature Vector被引量：6: 《Chinese Journal of Electronics》2017年第2期345-350,共6页LYU Yingda SHEN Xuanjing CHEN Haipeng; supported by the National Natural Science Foundation of China(No.61305046);the Natural Science Foundation of the Jilin Province(No.20140101193JC,No.20130522117JH,No.20150101055JC); To detect copy-paste tampering,an improved SIFT(Scale invariant feature transform)-based algorithm was proposed.Maximum angle is defined and a maximum angle-based marked graph is constructed.The marked graph feature v...; 关键词：Copy-paste tampering Image forensics Marked graph Maximum angle

Lung Nodules Detection in CT Images Using Gestalt-Based Algorithm被引量：6: 《Chinese Journal of Electronics》2016年第4期711-718,共8页QIU Shi WEN Desheng CUI Ying FENG Jun; supported by the National Natural Science Foundation of China(No.61372046);the Natural Science Foundation of Shannxi Province,China(No.2014JM8338); To overcome low accuracy and high false positive of existing computer-aided lung nodules detection.We propose a novel lung nodule detection scheme based on the Gestalt visual cognition theory.The proposed scheme invol...; 关键词：Computer-aided detection（CAD） Lung nodules Maximum intensity pro jection（MIP）

An Improved SAR Image Denoising Method Based on Bootstrap Statistical Estimation with ICA Basis被引量：7: 《Chinese Journal of Electronics》2016年第4期786-792,共7页JI Jian LI Yang; supported by the National Natural Science Foundation of China (No.61101248);the Fundamental Research Funds for the Central Universities of China(No.JB160302,No.JB150317); A new method for Synthetic aperture radar(SAR) image denoising is proposed.The prior information of speckle statistical model can be exploited to judge its distribution.The basis of SAR image can be estimated by Indep...; 关键词：Synthetic aperture radar（SAR） Image denoising Independent component analysis（ICA） basis Bootstrap Maximum a posterior probability（MAP）

On l-th NMDS Codes: 《Chinese Journal of Electronics》2014年第3期454-457,共4页TONG Hongxi CHEN Wenhai YU Fei; Linear codes with Singleton defects equivalent to 0, 1, 2 are studied, and they have good properties. They are called MDS codes, NMDS codes, NNMDS cdoes, respectively. In this paper, we study linear codes with large S...; 关键词：Linear codes Maximum distance separated （MDS） codes Singleton defects Near maximum distance separated （NMDS） codes Generalized Hamming weights.

Face Recognition Using Spatially Smooth and Maximum Minimum Value of Manifold Preserving被引量：1: 《Chinese Journal of Electronics》2013年第1期71-75,共5页WEN Hao WEN Youkui; Subspace face recognition methods have attracted considerable interests in recent years. However, the accuracy rates of previous methods are not high. The reason is that the manifold of face image data is not uti-lize...; 关键词：Manifold learning Face recognition Spa-tially smooth Subspace learning.

A SVDD Method Based on Maximum Distance between Two Centers of Spheres被引量：1: 《Chinese Journal of Electronics》2012年第1期107-111,共5页FANG Jinglong WANG Wanliang WANG Xingqi LONG Zhe LIANG Dongsheng ZHOU Qili; This work is supported by the National Natural Science Foundation of China （No.61070043, No.60874074）, National High Technology Research and Development Program of China （863 Program）（No.2007AA04Z155）, the Science and Technology Project of Zhejiang Province （No.2009C14032）.; On the base of the method of Support vec- tor data description （SVDD）, this paper proposes a SVDD method based on maximum distance between two centers of spheres. It applies two hyperspheres to separate two kinds of...; 关键词：Machine learning Pattern classification Support vector data description （SVDD） Unbalance prob- lem.

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