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多重分形去趋势波动分析模型
- 用于不同时间序列的重分形交叉相关性分析的多重分形去趋势交叉相关模型,整合了多重分形去趋势交叉相关系数于其中(A multifractal de-trend cross-correlation model for multifractal cross-correlation analysis of different time series is proposed, in which multifractal de-trend cross
copula
- 计算三大相关性系数(pearson、spearman、kendall)copula函数族检验(The family of three correlation coefficients (Pearson, Spearman, Kendall) copula is calculated.)
第6章 Copula理论及应用实例
- Copula一词原意为连接,它把多个随机变量的边缘分布连接在一起形成联合分布。变量间的相关结构完全由Copula决定,而各变量的统计特征由其边缘分布确定。与我们描述变量问相关关系常用的相关性相比,Copula描述的多元随机变量间的相关结构可以提供更准确的信息,目前Copula已经成为流行的多变量建模工具。(Copula is originally meant to connect the edge distributions of mu
图像去噪程序
- 小波阈值去噪具有很强的相关性,通过小波阈值处理,可以将噪声分为对应的小波系数,在经过阈值处理可以滤除,从而达到去噪的效果。(Wavelet threshold denoising has a strong correlation. Through wavelet threshold processing, the noise can be divided into corresponding wavelet coefficients.
Latin Hypercube Sampling
- 这是从多元正态分布、均匀分布和经验分布中实现拉丁超立方体采样的采样实用程序。变量之间的相关性可以被描述出来。(This is sampling utility implementing Latin hypercube sampling from multivariate normal, uniform & empirical distribution. Correlation among variables can be spr
feature-selection-mRMR-master
- 特征选择方法,用于降低数据维数,常见的一种特征筛选手段,可以从大量变量中筛选特征变量实现保留变量与目标之间的最大相关性(feature selection method for mRMR)
Wind engineering
- 采用离散再合成的随机流动生成(DSRFG)方法合成了满足目标湍流度、积分尺度、脉动风速谱及空间相关性等参数的各向异性湍流;讨论了DSRFG方法在生成湍流风场上关键参数的合理取值;(Anisotropic turbulences satisfying the parameters of target turbulence, integral scale, pulsating wind speed spectrum and spatial
DOE
- 一种数值方法,用于生成样本点。样本点之间具有相关性小,分布均匀的特点。(A numerical method for generating sample points. The sample points have the characteristics of small correlation and uniform distribution.)
交叉小波代码xwt
- 做两种因子的相关性或者两种因子在时间上相关性 里面有两种粮食的产量数据(Do the correlation of two factors or the correlation of two factors in time)
KAMAL
- 风谱分析,具体介绍脉动风模拟的方法采用KAMAL谱进行模拟考虑相关性(The simulation method of pulsating wind is introduced in detail spectrum)
细胞自动机的DCT嵌入和检测
- 细胞自动机自动生成水印,并在DCT域嵌入,用相关性d进行检测(Cellular automata generate watermark and embed it in DCT Domain)
OFDMSignalDetection-master
- 程序实现的主要功能: OFDM调制识别:研究了基于高阶累量和基于小波变换的OFDM信号和单载波调制信号的识别算法,仿真分析了两种算法在高斯信道和多径瑞利衰落信道下的信号识别性能。 OFDM参数估计:研究了基于Welch算法和AR模型法求解功率谱进而估计信号带宽的算法,对两种算法的估计性能进行了比较;根据OFDM信号的循环平稳性研究了基于循环谱的载频估计算法;根据 OFDM信号的自相关性研究了基于可变延时自相关和固定延时自相关
未命名文件夹
- 互相关性检验,Podobnik et al.(2009)提出的互相关统计量;MF-DCCA(Cross correlation test, cross-correlation statistics proposed by podobnik et al. (2009); MF-DCCA)
copulaenglish
- 解决二个变量 之间的非线性关系,包括MATLAB中自带的五种copula函数。(Solve the non-linear relationship between two variables, including five Copula Functions in MATLAB.)
copula
- 沪深股市日收益率的二元copula模型,copula函数的选取 参数估计 深证和上证的尾部相关性(The binary copula model of daily return in Shanghai and Shenzhen stock market, and the selection of Copula function to estimate the tail correlation between Shenzhen stock
计算机体系结构实验报告
- 计算机体系结构,流水线,相关性,命中率。 WinMIPS64/WinDLX 模拟器执行。(Computer architecture, pipeline, correlation, hit rate. Winmips64 / windlx simulator execution.)
copula_0.99-1
- copula函数算法,Copula函数描述的是变量间的相关性,实际上是一类将联合分布函数与它们各自的边缘分布函数连接在一起的函数(Algorithm based on Copula function.Copula function describes the correlation between variables, which is actually a kind of function that connects joint di