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1.
研究了nα带小波紧框架的结构,给出了m个函数生成nα带小波紧框架的充分条件,并给出构造该小波紧框架的显式算法,最后给出了构造小波紧框架的数值算例.  相似文献   

2.
通过对多普勒雷达PUP资料(回波顶高ET、回波反射率因子R19、液态水含量VIL)实时分析,编程实现了ArcGIS中Identify工具,完成雷达栅格图层(Raster)数组值索引.提出预警半径r、预警区域附角θ的概念,给出监测点抽样算法、方位角算法、(θ,α)点元筛选算法,并运用C#对各算法进行了实现.在Visual Studio2008开发环境下,实现了基于.NET的自动预警系统原型,可实时生成各作业点作业参数,为人工影响天气作业智能化提供必要理论及技术支撑.  相似文献   

3.
C.Ding和J.Yin推广了几乎差集,定义了新的几乎差族的概念.通过有限域中分圆类的方法给出了几乎差族新的构造方法,并得到了k=6,7,8,9的一类新的几乎差族.  相似文献   

4.
针对常数模算法收敛速度慢的缺点,在分析基于正交小波变换盲均衡器结构和并行软判决盲均衡算法的基础上,提出一种基于正交小波变换的并行软判决盲均衡算法.该算法将正交小波变换引入到并行软判决算法中,利用正交小波变换对信号很强的去相关能力,降低信号的自相关性,以加快算法的收敛速度.水声信道仿真结果表明,与并行的软判决盲均衡算法相比,所提出的基于正交小波变换的并行软判决盲均衡算法具有更快的收敛速度.  相似文献   

5.
β分布推广到不完全β分布,给出了二项分布的可靠度的先验分布为不完全β分布时的一些结论,并讨论了在基于二项分布可靠性增长模型中的应用.  相似文献   

6.
分析了超宽带室内信号的传播规律,即多径分量成簇到达.在实测数据的基础上,研究了信道模型参数的一般规律:簇的到达率Λ应该远小于径的到达率λ,簇的衰减系数Γ应该大于径的衰减系数γ,并修正了IEEE 802.15.3a信道模型CM2环境下的模型参数.仿真结果表明:修正参数后的CM2信道模型优于原模型,更能体现出多径分量成簇到达特性,与实测数据相比较,能更好地拟合实测数据.  相似文献   

7.
茆越  孙明  施勇  茆金祥 《气象科学》2012,32(S1):46-50
本文就酸雨观测仪器在测量操作中出现的异常状态进行了试验和分析,且对校错电极常数、测温系统故障、"后测K值"3种异常状态, 结合酸雨观测业务实践进行了试验、分析和讨论。推导出校错电极常数的电导率订正公式;制定了仪器测温系统故障的应急观测方案;指出"后测K值"会导致数据严重失真, 测量中必须严格遵循 "先测K值"规程;并建议在《酸雨观测业务规范》修订时, 增加本文有关的分析和处理方法。  相似文献   

8.
提出了一个新的大气动力-热力学温湿参量——湿静力平衡温度(Ts)。它与密度温度(Tρ)有密切关系。作为Ts的应用示例,简化了积云一维时变模式垂直运动方程;提出了“载水气块”和“非载水气块”统一的新的“对流有效位能”表达式。结合实例,计算了“载水气块”和“非载水气块”两种情况下的对流有效位能(分别记作CAPEwCAPE)以及对流抑制能量(分别记作CINwCIN)等,“载水气块”与“非载水气块”两种情况的“对流有效位能”及“对流抑制能量”有较大差异。作为强对流天气分析预报的重要参数,目前计算对流有效位能和对流抑制能量的通用公式存在一定缺陷;在对“对流有效位能”的理解方面存在某些模糊认识和盲点。从新的观察角度对“对流有效位能”的概念做了详细分析并进一步阐明了其确切含义。新的方案同样可以方便地在T-lnp图上进行稳定度分析,并可根据新的公式对T-lnp的某些缺点进行修正。  相似文献   

9.
三维变分同化中多变量平衡约束设计   总被引:2,自引:2,他引:0       下载免费PDF全文
在现代变分同化系统中,背景场误差协方差起着决定观测信息的空间分布特征、匹配不同变量间的关系和保证分析增量平衡的作用。基于NMC(National Meteorology Centre)方法,设计了一个新的多变量平衡约束算子:在物理变换中,构建相对湿度和其余控制变量间的平衡约束算子;同时分别采用经验正交函数方法和递归滤波器来模拟控制变量(ψ,χu,Tu,hru,psu)T的垂直误差协方差和水平误差协方差。利用2009年6月2日到8月9日间WRF模式的预报差值场,对新的背景场误差协方差进行模拟分析。单点观测试验表明,新的背景场误差协方差实现了观测信息在干湿变量之间的传递,而且相对湿度具有与温度相似的增量场分布。  相似文献   

10.
小波变换作为新的信号分析工具,受到学者们的重视,然而如何将小波尺度与频率联系起来,是一个亟待解决的问题.为了求解小波的中心频率,提出了一种基于正弦波的模型,并将模型推广到任意采样间隔与任意小波尺度.由于模型的非凸性,传统的基于梯度的优化方法容易陷入局部最优,因此提出了一种基于Rossler吸引子的粒子群算法.实验给出了常见小波的频率值,并通过一个通信信号检测的例子证明了该方法的有效性.  相似文献   

11.
Turbulence measurements performed at high frequencies yield data revealing intermittent and multi-scale processes. Analysing time series of turbulent variables thus requires extensive numerical treatment capable, for instance, of performing pattern recognition. This is particularly important in the case of the atmospheric surface layer and specifically in the vicinity of plant canopies, where largescale coherent motions play a major role in the dynamics of turbulent transport processes. In this paper, we examine the ability of the recently developedwavelet transform to extract information on turbulence structure from time series of wind velocities and scalars. It is introduced as a local transform performing a time-frequency representation of a given signal by a specific wavelet function; unlike the Fourier transform, it is well adapted to studying non-stationary signals. After the principles and the most relevant mathematical properties of wavelet functions and transform are given, we present various applications of relevance for our purpose: determination of time-scales, data reconstruction and filtering, and jump detection. Several wavelet functions are inter-compared, using simple artificially generated data presenting large-scale features similar to those observed over plant canopies. Their respective behaviour in the time-frequency domain leads us to assign a specific range of applications for each.  相似文献   

12.
墨西哥帽小波变换的影响域和计算方案新探讨   总被引:9,自引:1,他引:8       下载免费PDF全文
该文分析了Torrence等人研究的墨西哥帽 (Mexican Hat) 小波变换的影响域和高频失真问题并探讨了解决方案。平移点b处、小波尺度为a的墨西哥帽小波函数的有效定义域为[ b-2.12a, b+2.12a], 以墨西哥帽为母函数的小波变换的真正影响域是2.12a, 小波尺度a的最大值应为N/4.24(N为时间序列长度)。提出了充分利用小波函数速降性质和立方样条插值小波系数的新计算方案, 消除了该计算方案产生虚假的显著高频周期振荡问题。利用正弦函数型时间序列小波变换的解析式检验了文中提出的新计算方案的合理性。利用新计算方案对冬季Ni?o3.4指数进行分析, 冬季Ni?o3.4指数的平均整体小波功率谱表明, 存在约12年的年代际变化和准4年的年际变化, 不存在显著的准两年周期振荡。  相似文献   

13.
In this work, some wavelet methods are introduced to study the atmospheric boundary layer under stable conditions, where intermittent events and non-stationary turbulence take place. Such behavior makes classical methods, based on Fourier transform, difficult to use or even of no application.The wavelet transform is used to detect and characterize some structures in the stable atmospheric boundary layer. First, a wave-like event with a 16 min period is detected and analyzed in a wind record. The sum of some Morlet wavelets is proposed as a model for the oscillations. Afterwards, the wavelet transform is introduced to the study of non-stationary small scale turbulence. It provides the time evolution of the energy and a good location in time of the spots of turbulence. Finally, some wavelet tools are used to characterize a traveling structure, provided that it is simultaneously detected at different locations. The phase differences in the wavelet transform give the wavelength and the phase speed of the oscillations, whereas a double transform method is introduced to estimate the group velocity of the structure.  相似文献   

14.
Orthonormal wavelet expansions are applied to surface-layer measurements of vertical wind speed under various atmospheric, stability conditions. The orthonormal wavelet transform allows for the unfolding of these measurements into space and scale simultaneously to reveal the large intermittent behavior in space for the turbulent production wavenumbers. Both Fourier and wavelet power spectra indicated the existence of a –1 power law for the vertical velocity measurements at the production wavenumbers. The –1 power law in the turbulent production range was derived from surface-layer similarity theory. A dimensionless skewness, structure function is applied to the wavelet decomposed vertical velocity field to trace the destruction of the shear-or buoyancy-induced anisotropy under various stability conditions. The structure skewness function revealed shear- or buoyancy-induced eddy asymmetry dependence on stability at each scale within the –1 power-law wavenumber range with more isotropy during propagation from smaller to larger wavenumbers. The asymmetry of these events at the turbulent production wavenumbers appeared very localized in space, as well as in scale, and could be described with a simple eddy-overturning model. It is demonstrated that the wavelet transform is suitable for such analysis.  相似文献   

15.
Townsend's attached eddy hypothesis states that the turbulent structure in the constant stress layer can be decomposed into attached and detached eddy motion. This paper proposes and tests a methodology for separating the attached and detached eddy motion from time series measurements of velocity and temperature. The proposed methodology is based on the time-frequency localization and filtering capabilities of the orthonormal wavelet transforms. Using a relative entropy statistical measure, the optimal wavelet basis is identified first. The turbulence time series measurements are then transformed into the wavelet domain where the contribution of specific events in the time-frequency domain is identified. The filtering scheme utilizes a recently constructed Lorentz thresholding methodology that successfully eliminates all wavelet coefficients associated with the detached eddy motion. While this filtering scheme lacks the compression efficiency of the classical Donoho and Johnstone's universal thresholding model, it conserves the higher-order statistics and important turbulence interactions related to the Reynolds stresses. Following the filtering scheme, the attached eddy motion time series is re-constructed by an inverse wavelet transform of the non-zero wavelet coefficients. The proposed partitioning methodology for attached and detached eddy motion is tested using 56 Hz triaxial sonic anemometer velocity and temperature measurements above a uniform dry lake bed in Owens valley, California, for a wide range of atmospheric stability conditions. Validation that the wavelet filtered time series represents the attached eddy motion is also discussed in the context of conservation of turbulence energy and surface fluxes.  相似文献   

16.
介绍了小波变换和维纳滤波相结合的图像小波域维纳滤波去噪算法,在分析该算法最小均方误差期望的基础上提出一种改进算法。指出在进行维纳滤波之前,阈值化处理可以有效提高维纳滤波的性能。用标准测试图像的处理结果来比较改进前后两种算法的效果。  相似文献   

17.
GRAPES-EPS系统的初值生成方法与对比试验研究   总被引:1,自引:0,他引:1  
介绍了增长模繁殖法(BGM)和集合转化卡尔曼滤波法(ETKF)两种不同的模式初始扰动方法的基本原理,并以GRAPES中尺度模式为基础,利用两种初始扰动方法构建了两套中尺度集合预报系统。通过圣帕台风的个例试验,对比两种初始扰动生成方法对降水预报结果的影响。结果表明:两种方法均可以很好的捕捉到中尺度强降水的过程信息,集合平均结果优于控制预报,并在一定程度上改善了对强降水的落区和强度的预报;从邮票图和对集合预报系统的检验参数上来看,ETKF的集合离散度和特征值分布好于BGM方法,但对于降水结果TS等的评分的比较上来看,BGM的预报结果要优于ETKF的预报结果;另外,BGM方法和原理更简单,易于实现业务应用。  相似文献   

18.
Convectively coupled equatorial waves (CCEWs) are major sources of tropical day-to-day variability. The majority of CCEWs-related studies for the past decade or so have based their analyses, in one form or another, on the Fourier-based space–time spectral analysis method developed by Wheeler and Kiladis (WK). Like other atmospheric and oceanic phenomena, however, CCEWs exhibit pronounced nonstationarity, which the conventional Fourier-based method has difficulty elucidating. The purpose of this study is to introduce an analysis method that is able to describe the time-varying spectral features of CCEWs. The method is based on a transform, referred to as the combined Fourier–wavelet transform (CFWT), defined as a combination of the Fourier transform in space (longitude) and wavelet transform in time, providing an instantaneous space–time spectrum at any given time. The elaboration made on how to display the CFWT spectrum in a manner analogous to the conventional method (i.e., as a function of zonal wavenumber and frequency) and how to estimate the background noise spectrum renders the method more practically feasible. As a practical example, this study analyzes 3-hourly cloud archive user service (CLAUS) cloudiness data for 23 years. The CFWT and WK methods exhibit a remarkable level of agreement in the distributions of climatological-mean space–time spectra over a wide range of space–time scales ranging in time from several hours to several tens of days, indicating the instantaneous CFWT spectrum provides a reasonable snapshot. The usefulness of the capability to localize space–time spectra in time is demonstrated through examinations of the annual cycle, interannual variability, and a case study.  相似文献   

19.
采用可精确刻画雷达回波强度数据统计特征的小波域高斯尺度混合(GSM)模型作为雷达图像先验模型,进行天气雷达图像插值,在提高图像分辨率的同时有效重建降水回波中局部强回波值、小尺度变化细节等一些重要空间分布统计特征。分析和总结雷达回波强度数据小波频率域统计特点,建立小波域GSM模型;匹配天气雷达图像小波系数和GSM模型,利用贝叶斯理论估计更小尺度的小波系数,进行小波逆变换,完成高分辨率天气雷达图像插值。试验表明,该算法能从低分辨率图像中估计出高分辨率高频系数,且所利用的先验模型充分考虑降水数据本身的特点,可有效捕获降水回波结构的非高斯特征和局部相关特性,重建雷达图像中的局部变化细节。   相似文献   

20.
The characteristics of turbulent moisture on Huaihe river basin in China   总被引:6,自引:0,他引:6  
Summary ?A lot of work on near surface turbulence characteristics has been done in the experimental study of atmospheric turbulence, but little work on fluctuating scalar field has been done, especially on some quantities such as moisture and pollution. In this paper, with the methods of statistical theory, Fourier transform, fractal geometry and wavelet transform, the turbulent moisture data obtained from Huaihe River Basin Experiment (HUBEX) are studied to explore the statistical, spectral, fractal and intermittent characteristics of turbulent moisture. The results show that: (1) In the high humid area such as Huaihe river basin, the moisture plays an important role in the surface energy balance, energy transportation and cycle. (2) The energy spectra and cospectra are in agreement with the “−2/3” and “−4/3” scaling power law correspondingly in inertial sub-range. (3) The fractal dimension of turbulent moisture in Huaihe river basin is clearly higher than that in other areas (such as Beijing). (4) The fluctuating moisture field has strong intermittency, and is not in accordance with the Kolmogorov theory. With the orthonormal wavelet transform, the dissipative events of the fluctuating moisture field contributing to inertial sub-range intermittency buildup have been identified. After the dissipative events have been suppressed by introducing a conditioning wavelet sampling scheme, the intermittency that affects the statistical structure of inertial sub-range is restrained. However the repressive effects of intermittency on turbulent moisture field are worse than those on turbulent velocity field. The reason may be either the intermittency of turbulent moisture is strong or some coherence structures exist in the turbulent moisture field. Received April 27, 2001; Revised January 23, 2002  相似文献   

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