查询词典 range estimation

Sensitive range from 49.1% to 100%, specificity range from 18.2% to 90%,accurate range from 45.5% to 88.3%, PPV range from 34.1% to 95.2,NPV range from 22.2% to 100%,the combine sensitive was 82.7%,specificity was 63.3%;there were not obvious publish bias in the 9 articles, and there was heterology of the 9 articles, the forest figure show RR was 2.34[1.43,3.05],and its 95% confidence interval did not include 1,the chance of malignancy nodules'SUV above 2.5 were more than benign nodules.

文献报道的敏感性49.1-100%，特异性18.2-90.0%，准确性45.5-88.3%，阳性预测值34.1-95.2%，阴性预测值22.2-100%，Meta分析合并后的敏感性82.7%，特异性为63.3%，准确性为71.8%，阳性预测值80.8%，阴性预测值57.0%；漏斗图成近似倒三角形，认为文献无明显发表偏移；对文献异质性检验，P小于0.05，认为文献来源存在异质性；选用随机效应模式得到森林图，RR为2.34[1.43，3.05]，其95%的可信区间不包括1，认为肿瘤病人最大SUV 2.5法呈阳性的可能性大于非肿瘤病人，二者之间具有统计学差异；两篇来源于日本的文献显示日本国的18F-FDG PET肺占位显像假阴性率高于我国。

After that, a numerical model about Zhejiang shore tide is established by mike21 program. After validating the good agreement between simulated results and observed ones, the planar hydrodynamic flow of this ocean area is analysed in detail. Then co-tidal and co-range chart of each main tide is drew based on the computational result. It can be found that each co-tidal and co-range chart that is based on the simulated result is suitable to the co-tidal and co-range chart that is deduced from autoptical data, besides, the modle co-tidal and co-range chart can perfect the co-tidal and co-range chart from autoptical data where autoptical data is too hard to get .

在这之后，使用MIKE21水动力模块建立起浙江近海海域潮波模型，在模型潮位、潮流流速流向验证均合理的基础上，分析了计算得到的二维水动力流场，最后将模拟结果绘制出浙江近海M2、S2、N2、K1、O1主要分潮的同潮时图，并将其与实测同潮时图比较，发现各分潮等振幅线及同潮时线相同或相近值的等值线位置及走势基本一致，而且模拟得到的同潮时图对实测资料覆盖不到的海区做了适当补充。

In degraded PSM matching classification, errors modification method of degraded PSM is presented and the matching tensor of every canonical scattering centers is given. In Chapter 4, the theory of wideband millimeter-wave radar target identification is introduced. It is indicated that, for HR radar target identification, description of temoral relations among features and pattern recogntion adaptive to variation of target angles are of key importance. A rule-based pattern recogniton method of sequential reasoning is proposed, which uses a series of rules to describe relations of features variation caused by target angles variation and has the advantages of adaption to unrandom variation and false probability control in classification over traditional statistical pattern recognitiop method. Feature extraction is crucial step in target identification. In range profiles identification application, features are extracted by means of range domain pre-processing algorithm, spacial and amplitude visual computation directly from range profiles and transform algorithm based on range profiles. Visual or transformed features are either sufficiently convinced or necessarily convinced and both of them are effective and robust to range profiles identification.

在第四章，首先对宽带毫米波体制背景下目标识别方法的一些特点进行了阐述并指出，在毫米波雷达目标识别中，特征之间动态关系的描述以及能适应目标姿态角变化的模式识别方法的研究乃是要解决的关键问题；进而提出了一种基于规则库的序贯推理模式识别新方法，在这种方法的研究中，主要包括序贯推理规则库的规则排列与特征选用顺序以及规则库的收敛等问题；这种方法克服了传统的统计模式识别方法特征利用效率不高、难以适应特征值的非随机性变化的缺点，把姿态角变化所引起的特征的变化用一系列规则加以表示，其优点是能适应特征值的非随机性动态变化，并能控制分类过程中的差错概率α；特征抽取是目标识别中的关键步骤，在基于目标距离像的特征抽取方法研究中，提出了距离空间域的预处理算法、距离空间域与幅度域的直观特征抽取方法以及基于目标距离像变换分析的特征抽取方法。

A region superresolution spectrum estimation method based on coventional DFT computation is presented for obtaining one dimensional range profile, which has the advantages of real-time in computation and robustness under clutter and noise background over general superresolution methods. A iterative extropolation method based on both priori knowledge provided by conventional DFT spectrum and matching filtering process of target return data is also presented for range profile processing, which has the advantages of robustness in improving range resolution, suppressing clutter and noise.

在目标一维距离成像谱估计中，提出了以常规DFT为基础的邻域超分辨谱估计方法，它与普通超分辨算法相比，具有实时性强、在杂波与噪声背景中稳健性好的优点；在外推成像处理中，提出了以常规DFT目标结构图像为约束条件并结合目标信号准匹配滤波处理的迭代外推算法，其优点是稳健性好，能适度地提高距离分辨力但保留适度的抗杂波抗噪声能力。

Consider the dependencies between the coefficients and their parents, a non-Gaussian bivariate distribution is given, and corresponding nonlinear threshold function is derived from the model using Bayesian estimation theory. According to non-subsampled Contourlet transform and bivariate threshold function, a novel Non-Subsampled Contourlet Transform based on Bivariate threshold function for image denoising is proposed. This scheme achieves enhanced estimation results for images that are corrupted with additive Gaussian noise over a wide range of noise variance.

该文依据非下采样Contourlet分解系数与其父系数之间的相关性，给出非高斯双变量分布，对该模型应用Bayes估值理论推导得到相应的非线性双变量阈值函数，综合非下采样Contourlet分解和双变量阈值函数，提出一种基于双变量阈值的非下采样Contourlet变换图像去噪方法。

The estimation of forming part"s sideline The estimation of forming part"s sideline is significant in weld and assembly process, the paper puts forth two kinds of method to realize quantitative analysis for the deformed sideline, one is using line contour error to estimate deformed sideline combined with GA and taking the value of line contour error as target to check whether it is in the range of precision; The other is comparing curvature and torsion of design model with curvature and torsion of deformed model to check the sidelines precision.

冲压件边线变形的评价。冲压件的边线变形的评价在焊装工艺中有着重要意义，本文提出两种方法来实现冲压件边线的变形评价：一是借鉴线轮廓度评定的方法，结合遗传算法计算出边线的线轮廓度，并以线轮廓度值作为边线是否满足要求的评价指标：二是通过比较变形前后曲线的曲率和挠率来评价边线的变形情况。

Secondly the estimation of power spectrum of flame signal was made, and it was found to be able to reflect the stability of combustion state, which meaned that when the results of estimation of power spectrum showed that the frequency range in which the signal had certain value of energy became wider, and the peak value became larger, the extent of combustion stability became worse.

本文首次将色度学的原理引入到煤粉火焰颜色定量研究中来，试验研究发现，火焰的色度坐标可以反映火焰中风煤配比的变化：当色度坐标变小时，对应于风煤比变大，并且色度坐标对贫燃火焰反应敏感。据此可用来监视燃烧火焰中风煤配比是否失调。

First,owing to the wide range of use of WeibuU distribution,we propose the Weibull MTD model,which has improved the MTD model based on Gaussian distribution in some thick-tailed cases;Second,some stationarity properties of the model are discussed;After that,we apply the standard EM algorithm to mixture models to get the estimation equations and then expose bootstrap method to calculate confidence region of the parameters;Finally,some simulations and an example are analyzed in detail,which show that when analyzing nonstandard date,such as financial date,insurance date and so on,it is more proper for estimation to use the Weibull MTD model than the Gaussian MTD model.

首先给出基于Weibull分布的混合转移分布模型的一阶与k阶平稳的充分必要条件；接着，应用EM算法，得到了参数的极大似然估计及它们的标准误差；然后，应用Bootstrap方法，得到了参数的置信区间；最后，通过模拟与实例分析，说明该模型在分析来自金融、保险等某些厚尾分布的数据时，在参数估计方面的表现优于高斯混合转移分布模型。

One of the most common ways to describe a wood's tonal properties is in terms of its frequency range,which is often broken down into low-end frequencies,mid-range and high-end frequencies.picture it as a visual spectrum,as we've done in the chart to the right,with the lower frequencies on the left and the higher frequen-cies on the right.the graph line for each wood visually depicts its general tonal range.rosewood and ovang kol,for example,tend to resonate with more low-end frequencies,whereas koa,cocobolo and maple tend to sound brighter from having more top-end frequencies.note also rosewood's"scooped"midrange and ovang-kol's fuller midrange.the doted lines for walnut and koa denote the expansion of low-end frequency range as the guitar opens up after a period of playing it.

最常见的方式描述了木材的声音特性是在其频率范围内，这往往是细分为低端频率，中端和高端frequencies.picture它作为一个视觉频谱，因为我们'维生素E这样做的图表，以权，以较低的频率在左边和更高的频率，种上right.the图线的每一个木材视觉描绘的一般音调range.rosewood和ovang科尔举例来说，往往会产生共鸣更多的低端频率，而兴亚， cocobolo和枫树往往从健全光明有更多的高端frequencies.note也花梨木的"收购"的中端和ovang -科尔的充分midrange.the doted线的核桃和兴亚指扩大低端频率范围内的吉他开辟了一段时间后，打它。

The influences of the shock thickness and Alfven waves on the particle acceleration by diffusive shock waves are numerically studied through solving one-dimensional diffusive equation including the second-order Fermi effect. It is shown that the spectral index of the energetic particles strongly depends on the shock thickness. For example, the spectral index increases from 2.1 to 3.7 in the low energy range of 3-10 MeV and from 2.5 to 5.0 in the high energy range of 20-60 MeV as the thickness increases. The spectral index decreases from 4.3 to 3.1 as the particle injection energy increases. The spectral index decreases from 4.0 to 1.8 at the quasi-steady stage with the enhancement of the compression ratio from 2 to 4. The results indicate that under the influence of Alfven waves, the energetic particle spectrum at lower energy becomes flat and the spectral index decreases from 2.5 to 0.6 in the low energy range of 3-10 MeV and from 11.6 to 5.0 in the high energy range of 20-60 MeV. At the same time, the rollover energy reaches 19.6 MeV. The spectral index decreases from 5.8 to 2.9 as the energy density of Alfven waves increase. All these results are basically consistent with the theoretical models, as well as the observations of typical energetic particle events.

通过数值求解包含二阶费米加速的一维扩散方程，探讨在准平行激波条件下激波厚度和级联阿尔芬波对粒子加速的影响，研究粒子分布函数的演化与激波厚度和阿尔芬波强度的内禀关系，计算结果表明：(1)考虑激波厚度时，谱指数明显依赖于激波厚度，随着厚度从0.32增大到2.56，低能端(3-10MeV)谱指数逐渐从2.1增加到3.7，高能端(20-60MeV)谱指数从2.4增大到5.0，能谱逐渐变软；当初始注入粒子动量增大1.3倍，质子能谱指数从4.3减小到3.1，且与零厚度激波加速的谱指数差值缩小；厚度不变时，随着压缩比从2增加到4，准稳态分布时低能端(3-10MeV)粒子能谱指数逐渐从4.0减小到1.8谱变硬；(2)在级联阿尔芬波的影响下，随着时间的增大，粒子在低能处(3-10MeV)的谱指数从2.5减小到0.6高能端(20-60MeV)谱指数从11.6减小到5.0，能谱变硬，拐点能量值从7.5MeV增大到为19.6MeV；随着波的能量密度增大，谱指数从5.8减小到2.9，这表明阿尔芬波强度越大，加速效率越高，通过与激波厚度解析结果和高能粒子事件的观测能谱比较发现两者是一致的，说明数值模拟结果是可靠的。

"The operators will suffer a temporary decrease in the number of consumers and short message services as people may not like having to provide their ID cards for a phone number," Xu Junqi, vice-dean with the Policy-Making Institute of the Telecommunications Research Centre under MII, said yesterday.

信息产业部下属的通信决策研究院副主任徐俊其昨天说：&实行手机实名制后，人们可能不太情愿用身份证注册手机号，所以通信运营商会暂时面临用户减少和短信用户减少的问题。&

I don't believe in make-believe!

我不相信这些虚构的故事。