搜索资源列表
muchyears
- 解决多年多地点农林类专业的大量数据的例如方差及均值等数据分析-Solve the multi-year multi-site specialty agriculture, forestry, large amounts of data such as variance and mean, such as data analysis
calculater
- 这是一个仿照实体计算器功能设计，包括所有常用的计算功能并具有对一组数据的统计处理功能的，用C++语言编程的软件。可以直接在电脑上使用无需安装任何附件。本产品针对需求简单的使用者，设计出一种界面简单，使用方便且功能比较齐备的计算器。基本功能包括简单加减乘除运算，三角函数，反三角函数运算，指数对数运算，求平方及平方根等。增加了对一组数据的统计处理，如平均数，求方差，求平方和这样的运算。-This is a calculator function entity modeled on the desig
adaptivefir
- 自适应滤波器。自适应滤波器为11个权系数的FIR结构。（1）不同的方差σ2（2）LMS算法画出一次实验的误差平方收敛曲线，训练长度为500，给出滤波器系数；进行20次独立实验，给出平均收敛曲线。不同步长值的比较。（3）RLS算法，LMS和RLS算法的比较 -Adaptive filter. Adaptive filter weights for 11 of the FIR structure. (1) different variance σ2 (2) LMS algorithm for a
56465416
- 介绍一种实用的二维条码识别算法。首先探讨了二维条码的定位与分割算法,利用Hough变换与Sobel边缘检测把条码图像从原始采集的图像中有效地分割出来 然后分析了条码图像经过光学系统的噪声模型,提出了一种计算点扩展函数标准方差的算法 采用Flourier变换自适应地选取阈值去除噪声导致的无效边界,从而得到条码的基本模块。实验结果表明,该算法具有很好的抗噪性,提高了二维条码的识别率。 -A practical two-dimensional barcode recognition algorit
897979
- 介绍一种实用的二维条码识别算法。首先探讨了二维条码的定位与分割算法,利用Hough变换与Sobel边缘检测把条码图像从原始采集的图像中有效地分割出来 然后分析了条码图像经过光学系统的噪声模型,提出了一种计算点扩展函数标准方差的算法 采用Flourier变换自适应地选取阈值去除噪声导致的无效边界,从而得到条码的基本模块。实验结果表明,该算法具有很好的抗噪性,提高了二维条码的识别率。 -A practical two-dimensional barcode recognition algorit
graphicexperiment
- 用MATLAB实现数字图像处理的块编码，数字化，锐化，灰度级变换，直方差均衡等等。-Using MATLAB realization of digital image processing block coding, digitization, sharpening, gray-scale transformation, and so straight variance balanced.
ISODATA
- 一个简单的isodata动态聚类算法isodata，最后可以显示出迭代的结果，包括中心点，方差，样本归类等-A simple ISODATA dynamic clustering algorithm isodata, the last iteration can show results, including the center, variance, sample classification, etc.
StraightFlight_3D
- 探测三维冲突概率算法，通过对误差协方差矩阵的运算，对其进行一事实上的矩阵变换使算法进行简化，-Three-dimensional probabilistic conflict detection algorithm, through the error covariance matrix of computing, its a matter of fact so that the matrix transformation algorithm can be simplified,
Variation2
- 方差分维数计算程序，此方法计算速度更快。-Fang difference dimension calculation program, the faster method.
LocalOstu
- 基于opencv的otsu阈值分割,根据最大类间方差原理,进行全局图像分类-Opencv based on the Otsu threshold segmentation, in accordance with the principle of maximum between-cluster variance for the overall image classification
rsvd
- 基于GM算法和QR分解实现的稳健奇异值分解算法，通过该算法可以获取一个数居阵的稳健方差－协方差阵。在该稳健方差－协方差阵上可以进行诸如，稳健主成份分解、稳健聚类、稳健因子分析等操作。-GM based on QR decomposition algorithm and the realization of the stability of singular value decomposition algorithm, the algorithm can be accessed through a
dajinfa
- 图像处理中图像分割，最大类间方差法，也叫大津法-Image processing image segmentation, the largest between-class variance method, also known Otsu method
COV2K
- 极化SAR图像处理中，将协方差矩阵转换为STOKES矩阵或Mueller矩阵的程序-Polarization SAR image processing, the covariance matrix will be converted to matrix or Mueller matrix STOKES procedures
pauli cov
- 极化SAR图像中的将协方差矩阵数据进行PAULI分解的程序-Polarization SAR images will covariance matrix data Pauli decomposition process
aaa
- 实现三类协方差不等的贝叶斯分类，输入样本即可得出此样本属于哪一类。-The realization of three categories ranging from Covariance Bayesian classifier, the importation of samples can be drawn to this type of samples.
sas
- 统计分析软件课程设计是专业必修的实践教学课程。通过课程设计使学生系统地了解SAS软件的基本统计分析功能和操作编程方法，掌握描述统计、假设检验、回归分析和方差分析等统计方法，并将此方法运用于社会经济问题的管理、决策及因素分析中。使学生了解当前统计方法应用的前沿和热点问题。 -Statistical analysis software, curriculum design is a professional practice of compulsory courses. Curriculum des
loacation_nornmalization_iris
- 采用最小均方差法对虹膜瞳孔定位，虹膜外圆定位，归一化及其增强处理，圆拟合-Using least-mean-variance method of positioning the iris pupil, iris outer location, normalized and enhanced handling, circle fitting
meancov
- 用于求多多数据的均值和方差，希望对大家有用-Seek more data for the mean and variance, in the hope that useful
G
- 实现了一个产生符合高斯分布的随机数发生器，并用最大似然估计法估算其方差及均值-Produced in line with the realization of a Gaussian distribution of the random number generator, and the maximum likelihood estimation method to estimate their variance and mean
gabor_svm
- 采用Gabor_Palm函数提取掌纹图像的能量特征，并将得到的结果分块，分别计算每块的均值和方差作为特征向量。特征向量的长度为160.-Gabor_Palm function using the energy extracted palmprint image features, and will be the result of sub-blocks, each block were calculated the mean and variance as a feature vector