搜索资源列表
single-factor
- 用C++与Cuda结合，计算单因素方差。提出一种新的算法。加快速度。-Cuda with a combination of C++ and calculate single-factor variance. Propose a new algorithm. Speed.
OrthLLS2D
- 正交线性最小方差评估a x + b y + c = 0-ORTHLLS2D returns the Orthogonal Linear Least Squares estimate for parameters of line a x+ b y+ c = 0
MP_DOA
- 针对多径效应的影响，提出了一种基于矩阵束的MIMO 雷达低仰角快速估计方法。该方法同时考虑了发射多径信号和接收多径信号，采用单样本数信号矢量构造了一个前后向矩阵束，并利用两个酉矩阵对该矩阵束进行降维处理，最后采用广义特征值分解的总体最小二乘法来估计目标角度。算法不需要估计数据协方差矩阵，可在低 信噪比和单样本数情况下，有效地克服多径效应，实现同时多目标低仰角估计，相比最大似然算法，避免了谱峰搜索，计算量小。仿真结果验证了该算法的有效性。-To overcome the multipath e
chaoshengganshe
- 利用matlab对超声干涉实验进行计算，可求标准差方差声速与gamma误差-Use matlab to calculate the ultrasonic interference experiments, velocity variance and standard deviation of rectifiable errors, etc. gamma
shijian
- 任给一组数据，通过函数求解样本均值、样本自协方差函数、样本自相关函数和样本偏自相关函数-As to a set of data, through solving the sample mean value and function sample covariance function, sample from the autocorrelation function and sample partial autocorrelation function
fangchafenxi
- 利用离差分解法计算出方差分析表，并用Ｆ检验法，检查对给定的显著性水平 ，因子Ａ对实验数据是否有限著影响-Use from the Finite Difference Method to calculate the analysis of variance table and F test, to check a given significance level, factor A is limited to whether the experimental data
matlab
- MATLAB算法大全，线性规划、非线性规划、方差分析、层次分析法、现代优化算法-MATLAB algorithms Guinness, linear programming, nonlinear programming, variance analysis, analytic hierarchy process, modern optimization algorithms
EOF_sum
- EOF正交分解分析 可以得到特征的空间向量场 时间序列数 以及方差贡献值-The EOF orthogonal decomposition analysis of the space vector fields can be characterized the number of time series and variance values
jianjiepingcha
- 水准测量中间接平差以及观测精度的计算，本程序由c++编写，可以得到平差后未知点坐标，协方差阵，观测值改正数等等。-Leveling in indirect adjustment and the calculation of the observational accuracy of the program written by c++ unknown point coordinates can be adjustment, the covariance matrix of observation
doa
- DOA估计：最大熵算法、最小模算法、最小方差算法。输入： 快拍数据协方差矩阵R，观察范围内各方向导向矢量，三维矩阵phiyz。输出：最小方差谱估计矩阵P。-DOA Estimation: maximum entropy algorithm, the minimum norm algorithm, the minimum variance algorithm. Input: snapshot of the data covariance matrix R, the steering vector
MyIndex
- 主要功能是计算均值、标准差、方差、偏斜度、峭度、 峰峰值、方根幅值、平均幅值、峰值、 波形指标、峰值指标、脉冲指标、裕度指标。-The main function is to calculate the mean, standard deviation, variance, skewness, kurtosis, peak to peak, the square root of amplitude, average amplitude, peak waveform index, peak ind
cov_cal
- 内有图像协方差的计算，协方差间黎曼距离的计算-Within the calculation of the image covariance, the covariance between Riemannian distance calculation, and so on
PCA
- 应用主成分分析的方法实现数据降维，主成分个数通过累积方差贡献率的方法来确定-The principal component analysis of data dimensionality reduction, the number of principal components to determine the cumulative variance contribution rate
example
- 地质统计学中关于空间变量的相关性系数，方差，协方差的计算源码-Spatial variables, the calculation of the correlation coefficient
fugai
- 找最小距离 并且最小的方差 和任务分配 以及综合最小-Find the minimum distance and the minimum variance and task allocation
FB_DataRectification
- 数据校正源码。1、粗大误差识别与剔除功能有多种准则(莱依特、肖维勒、罗蒙诺夫斯基、格拉布斯、狄克逊)，不同准则算法不一样。在一个剔除周期内，对同一变量的n的样本进行粗大误差识别和剔除，样本个数n大于5，小于等于102.2、数据协调功能再粗大误差被剔除的基础上，在满足约束条件下求出无偏最小方差估计解，此解即为数据协调值。-Data correction source. 1 gross error identification and elimination features a variety o
FangCha
- 输入int数组或者List<Integer>对象，计算其double类型的方差值-Input int array or List <Integer> Object, calculate the variance value of type double
8.14
- 输入10个学生5门课的成绩，分别用函数求：1，每个学生的平均分；2，每门课的平均分3，找出最高分所对应的学生和课程；4，求出平均分方差。-Enter the results of 10 students in the course, function evaluation: 1, the average of each student 2, the average per course, to identify the highest branch of the corresponding s
scientific_calculator
- 用matlab GUI编写的科学计算器程序，可以实现各进制的相互转换，进行逻辑运算，三角函数运算，幂运算，均值，标准差及方差运算等-this is a scientific calculator that was programmed by matlab GUI。its functions conclude hexadecimal conversion,logical operations,trigonometric,exponentiation,mean,standard deviation
MeanVariance
- 随机产生625个样本，没个样本包含（1，2）之间的25600个随机数，并且使其随机分布！然后计算每个样本的均值，然后再计算总体样本均值，方差，标准差！并计算区间概率！-Randomly generate 625 samples, no samples contains 25 600 (1,2) between the random number, and to a random distribution. Then calculate the mean of each sample, and t