基于熵加权K-means全局信息聚类的高光谱图像分类

目的 高光谱图像波段数目巨大，导致在解译及分类过程中出现“维数灾难”的现象。针对该问题，在K-means聚类算法基础上，考虑各个波段对不同聚类的重要程度，同时顾及类间信息，提出一种基于熵加权K-means全局信息聚类的高光谱图像分类算法。方法 首先，引入波段权重，用来刻画各个波段对不同聚类的重要程度，并定义熵信息测度表达该权重。其次，为避免局部最优聚类，引入类间距离测度实现全局最优聚类。最后，将上述两类测度引入K-means聚类目标函数，通过最小化目标函数得到最优分类结果。结果 为了验证提出的高光谱图像分类方法的有效性，对Salinas高光谱图像和Pavia University高光谱图像标准图中的地物类别根据其光谱反射率差异程度进行合并，将合并后的标准图作为新的标准分类图。分别采用本文算法和传统K-means算法对Salinas高光谱图像和Pavia University高光谱图像进行实验，并定性、定量地评价和分析了实验结果。对于图像中合并后的地物类别，光谱反射率差异程度大，从视觉上看，本文算法较传统K-means算法有更好的分类结果；从分类精度看，本文算法的总精度分别为92.20%和82.96%， K-means算法的总精度分别为83.39%和67.06%，较K-means算法增长8.81%和15.9%。结论 提出一种基于熵加权K-means全局信息聚类的高光谱图像分类算法，实验结果表明，本文算法对高光谱图像中具有不同光谱反射率差异程度的各类地物目标均能取得很好的分类结果。     

Eliminating bias due to censoring in Kendall’s tau estimators for quasi-independence of truncation and failure

While the currently available estimators for the conditional Kendall’s tau measure of association between truncation and failure are valid for testing the null hypothesis of quasi-independence, they are biased when the null does not hold. This is because they converge to quantities that depend on the censoring distribution. The magnitude of the bias relative to the theoretical Kendall’s tau measure of association between truncation and failure due to censoring has not been studied, and so its importance in real problems is not known. We quantify this bias in order to assess the practical usefulness of the estimators. Furthermore, we propose inverse probability weighted versions of the conditional Kendall’s tau estimators to remove the effects of censoring and provide asymptotic results for the estimators. In simulations, we demonstrate the decrease in bias achieved by these inverse probability weighted estimators. We apply the estimators to the Channing House data set and an AIDS incubation data set.     

基于SystemView的奈奎斯特第一准则的验证与分析

本文阐述了奈奎斯特第一准则的基本原理,并使用SystemView软件对数字基带系统进行仿真设计。我们修改信道噪声和基带信号的码元传播速率,并观察比较接收波形和发送波形,直观看到噪声和码间干扰对数字基带系统的影响,同时验证了奈奎斯特第一准则。     

改进3点权位法的光伏电池MPPT控制器的应用研究

针对目前光伏电池最大功率点跟踪算法跟踪效率不高、稳态波动大和易误判等缺点,提出基于改进3点权位法的光伏电池最大功率跟踪算法。根据光伏电池物理模型及其在工程应用领域中的数学模型,在Matlab/Simulink中搭建了光伏电池最大功率跟踪器仿真模型,将传统MPPT算法和3点权位算法进行仿真比较,结果表明改进3点权位法可以快速、稳定、有效地跟踪最大功率。     

Magnetic resonance image denoising using nonlocal maximum likelihood paradigm in DCT‐framework

The data acquired by magnetic resonance (MR) imaging system are inherently degraded by noise that has its origin in the thermal Brownian motion of electrons. Denoising can enhance the quality (by improving the SNR) of the acquired MR image, which is important for both visual analysis and other post processing operations. Recent works on maximum likelihood (ML) based denoising shows that ML methods are very effective in denoising MR images and has an edge over the other state‐of‐the‐art methods for MRI denoising. Among the ML based approaches, the Nonlocal maximum likelihood (NLML) method is commonly used. In the conventional NLML method, the samples for the ML estimation of the unknown true pixel are chosen in a nonlocal fashion based on the intensity similarity of the pixel neighborhoods. Euclidean distance is generally used to measure this similarity. It has been recently shown that computing similarity measure is more robust in discrete cosine transform (DCT) subspace, compared with Euclidean image subspace. Motivated by this observation, we integrated DCT into NLML to produce an improved MRI filtration process. Other than improving the SNR, the time complexity of the conventional NLML can also be significantly reduced through the proposed approach. On synthetic MR brain image, an average improvement of 5% in PSNR and 86%reduction in execution time is achieved with a search window size of 91 × 91 after incorporating the improvements in the existing NLML method. On an experimental kiwi fruit image an improvement of 10% in PSNR is achieved. We did experiments on both simulated and real data sets to validate and to demonstrate the effectiveness of the proposed method. © 2015 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 25, 256–264, 2015     

时变加权的机载双基雷达降维空时自适应处理

针对机载双基雷达传统降维空时自适应处理方法杂波抑制性能较差的问题,提出了一种新的降维方法.该方法对杂波协方差估计矩阵进行降维处理,利用时变加权技术对降维后的权值矢量进行更新,以补偿杂波的距离相关性,提高杂波协方差估计准确度.理论分析和仿真结果表明:在不同的双基雷达配置情况下,该方法均可以对非均匀杂波进行有效抑制;且相对时变加权技术最优空时自适应处理,运算量和所需训练样本数大幅减少.此外,与多普勒补偿或角度多普勒补偿方法相比,该方法无需了解有关雷达平台和配置场景的先验知识,适于工程实现.     

单脉冲雷达速度量折射误差高精度修正方法

单脉冲雷达是高精度外弹道测量系统中的一种主要测量设备之一,为了提高其测量精度,对所有测量参数都需要进行电波折射误差修正.针对目前单脉冲雷达测速参数折射误差修正精度较低的现状,在距离和角度折射误差修正基础上,提出了基于方向余弦的速度量折射误差高精度修正方法.首先根据经折射修正后的目标精确位置,利用二阶中心平滑微分方法求出目标的真实速度向量;然后再利用测站、地心的位置得到目标到雷达站、地心的方向余弦,进而求出目标与雷达站间电波射线在目标处切矢方向余弦;最后进行距离变化率的折射误差修正.实验证明,该方法比常用的直接微分方法的精度高出20％,且具有较好的实用性和有效性.     

Frequency weighting filter design for automotive ride comfort evaluation

Few study gives guidance to design weighting filters according to the frequency weighting factors,and the additional evaluation method of automotive ride comfort is not made good use of in some countries.Based on the regularities of the weighting factors,a method is proposed and the vertical and horizontal weighting filters are developed.The whole frequency range is divided several times into two parts with respective regularity.For each division,a parallel filter constituted by a low-and a high-pass filter with the same cutoff frequency and the quality factor is utilized to achieve section factors.The cascading of these parallel filters obtains entire factors.These filters own a high order.But,low order filters are preferred in some applications.The bilinear transformation method and the least P-norm optimal infinite impulse response(IIR) filter design method are employed to develop low order filters to approximate the weightings in the standard.In addition,with the window method,the linear phase finite impulse response(FIR) filter is designed to keep the signal from distorting and to obtain the staircase weighting.For the same case,the traditional method produces 0.330 7 m · s~(–2) weighted root mean square(r.m.s.) acceleration and the filtering method gives 0.311 9 m · s~(–2) r.m.s.The fourth order filter for approximation of vertical weighting obtains 0.313 9 m · s~(–2) r.m.s.Crest factors of the acceleration signal weighted by the weighting filter and the fourth order filter are 3.002 7 and 3.011 1,respectively.This paper proposes several methods to design frequency weighting filters for automotive ride comfort evaluation,and these developed weighting filters are effective.     

蒙脱石含量测定方法改进研究

用吸蓝量(MB)换算法测定蒙脱石含量,换算系数0.442不能用来准确计算其实际含量。由于吸蓝量和阳离子交换容量(CEC)与蒙脱石含量正相关,通过测定原矿、原矿提纯样以及提纯后杂质矿物的吸蓝量或CEC,进行加权或对比计算,即可得到原矿中蒙脱石的含量,这样可消除膨润土属性、属型等对测定结果的影响。改进的结果表明,不论加权法还是比值法,CEC也可用于测定蒙脱石含量;但加权法计算更为合理。蒙脱石、杂质矿物的纯度,以及它们的吸蓝量、CEC的精密度和准确度,是加权法测定准确与否的关键;比值法适用于细粒级或提纯后纯度较高情况下的测定。     

长壁工作面基础板结构模型及其来压规律

首次将长壁工作面承支老顶的直接顶与煤层分别视为弹性，弹塑性，粘弹性及粘塑性基础，将老顶视为弹性薄板，亦即将老顶及其基础（直接顶与煤层）分别视为４种统一的空间结构模型，并采用薄板弯曲边界元法分别与弹性，弹塑性，粘弹性及粘塑性边界元法耦合，对前述空间模型进行了求解，结果表明：老顶断裂后，各断裂岩板之间仍处于联锁咬合状态，形成咬合权结构，随着基础从弹性向粘塑性过渡，老顶的断裂位置与煤壁间的距离以及顶板下