搜索资源列表
NeuroFaceDemo
- Face Recognition Demo using Neural Networks-Face Recognition Demo using Neural Network ks
柯尔莫哥洛夫检验
- 柯尔莫哥洛夫检验
KSVD_Matlab_ToolBox.zip
- 该代码用c++语言实现了KSVD算法,运行环境为vc6.0,The code using c++ language implementation of the KSVD algorithm, runtime environment for vc6.0
m
- 该程序试图考察一组数据服从哪种分布（正态，指数或双边指数），并利用K-S检验对各种分布作了检验。-The program attempts to examine a set of data subject to which distribution (normal, exponential or bilateral index), and use KS test has been tested in a variety of distributions.
ks
- this is program to work with knapsack ok using c/c-this is program to work with knapsack ok using c/c++
Sample-subset-partitioning
- 近红外光谱分析中要从复杂的信息中有效地提取相关信息建立可靠的模型，选择的训练集要具有较好的代表性。目前．样本的选择方法主要包括random sampling(RS)，Kennard—Stone(KS)．sample set partitioning based on joint x-y distance(SPXY)等方法 。-selecting a representative subset in NIR data using SPXY， the random sampling，and Kenn
ks
- image compression using wavelet transform - RGB images-image compression using wavelet transform - RGB images
EOF
- 经验正交函数分解 Empirical Orthogonal Functions (EOF s) eof(m,n,mnl,f,ks,er,egvt,ecof) 求时空场f(m,n)的特征向量egvt(m,mnl)，时间系数ecof(mnl,n)，特征值er(mnl,1)，累积特征值er(mnl,2)，解释方差er(mnl,3)，累积解释方差er(mnl,4) -Empirical orthogonal function decomposition of Empirical O
kstest
- 非参数检验中K-S检验的matlab实现-Non-parametric test in the KS test matlab implementation
lyaprosen
- INPUTES: y: y is vector of values(time series data) tau: embedding lag of state space reconstruction. When you have not any information about tau please let it zero. The code will calculates the tau. m: m is embedding dimension. If yo
kstest_2s_2d
- kstest_2s_2d.m：功能做两样本的二维Kolmogorov - Smirnov检验 它类似于MATLAB的内置函数的“kstest2“从统计工具箱除了“kstest_2s_2d“与二维数据处理。 [小时，pValue，KSstatistic] = kstest_2s_2d（为x1，x2，α，尾） 函数在两栏输入“ד，并以“ד，其中每一列代表一个维度。其他的选项和产出是相同的含义，是“kstest2“格式。 摘要算法（峰值，1983年）：考虑
kennard-stone
- 经典的KS算法，用于近红外光谱分析选样本。-Classic KS algorithm, the sample selected for the near-infrared spectroscopy.
kst
- ks test for checking randomness property
KS-RS
- 主要用于样本的划分，有K-S和R-S两种方法-Mainly used for sample classification, there are two ways to KS and RS
sdggzip
- C++实现的自动聚类系统KlustaKwik源代码\KlustaKwik-R1-7\KlustaKwik-ks for any type of data. We needed a program that would: 1) Fit a mixture of Gaussians with unconstrained covariance matrices 2) Automatically choose the number of mixture components 3)
AWGN-PDFaCDF
- 加性高斯白噪声信道的仿真。利用BOX-MULLER算法产生信道，画出PDF曲线。采用基于CDF的K-S TEST来检测所产生的高斯信道是否符合理论分布。-Additive white Gaussian noise channel emulation. BOX-MULLER algorithm to generate the channel, to draw PDF curve. Based on the CDF of KS the TEST to detect the generated Gau
Rayleigh-PDFaCDF
- 瑞利信道的仿真。画出PDF曲线。采用基于CDF的K-S TEST来检测所产生的瑞利信道是否符合理论分布。-Rayleigh channel simulation. Draw the PDF curve. CDF KS the TEST detection of Rayleigh channel is in line with the theoretical distribution.
ks
- to check the uniformity of generated random numbers using ks test
KS
- KS分类：利用欧式距离合理划分定标、预测样品，使定标样品具有代表性。-KS Category: Using the Euclidean distance rational division of calibration, sample predicted that a representative sample calibration.
KS样本划分代码
- K-S，即kolmogorov检验法，亦称拟合优度检验法。用来检验给定的一组数据是否来自分布F=F0，原理是若H0成立，则max|v/n-F0(qj)|应该很小，用手算几乎在绝大多数情况下是不可能的，通常借助统计软件，如SAS，S+等(K-S, namely Kolmogorov test, also known as goodness of fit test. It is used to test whether a given set of data comes from the distr