搜索资源列表
Variation
- 方差法计算分维数,此方法牺牲了一定的计算速度,但是精度较高。-Variance method to calculate fractal dimension, this method of calculating the expense of a certain speed, but accuracy.
KLtransform
- (1)应用9×9的窗口对上述图象进行随机抽样,共抽样200块子图象; (2)将所有子图象按列相接变成一个81维的行向量; (3)对所有200个行向量进行KL变换,求出其对应的协方差矩阵的特征向量和特征值,按降序排列特征值以及所对应的特征向量; (4)选择前40个最大特征值所对应的特征向量作为主元,将原图象块向这40个特征向量上投影,所获得的投影系数就是这个子块的特征向量。 (5)求出所有子块的特征向量。 -(1) the application of 9 × 9 window
chip_histogram_features
- 本程序使用matlab实现提取了很多直方图所需要的参数特征,如均值、方差、偏度、峰度、能量和熵。-This procedure used to achieve extracted a lot of matlab histogram parameters needed features, such as the mean, variance, skewness, kurtosis, energy and entropy.
otsu
- 最大类间方差法,给出了详细的介绍,希望能对大家学习图像处理有帮助-Otsu law, gives a detailed introduction to all of us hope to be helpful to learn image processing
otsu
- 最大类间方差法原理:最大类间方差法是由日本学者大津于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法-Otsu Method: Otsu is Otsu scholars from Japan in 1979 to argue that there is an adaptive threshold to determine the method, also known Otsu method
shipin
- 利用改进的ostu即最大类间方差方法进行视频图像二值化-Ostu that the use of improved Otsu method of video image binarization
AStudyoWaveletImgaeCoding
- 通过测量小波变换产生图像的熵、方差、最大值、最小值、平均值及各子图像内小波变换系数间的相关性来确定各子图像应采取的编码策略-Wavelet transform generated by measuring the image entropy, variance, maximum, minimum, average and sub-image with the wavelet transform coefficients of correlation between each sub-image
DSP_C-MATLAB-FORTRAN
- 含有《数字信号处理-理论、算法与实现》一书中所涉及到的绝大部分算法,DSP_FORTRAN, DSP_C和DSP_MATLAB。DSP_FORTRAN和DSP_C各含有约40个信号处理的子程序。 用C语言编写的MA模型、ARMA模型及最小方差谱估计三个算法程序.-Contain " Digital Signal Processing- Theory, Algorithm and implementation of" one book relates to the v
imageevaluation
- 图像质量评价,熵、平均梯度、边缘强度、方差等-Image quality evaluation, entropy, average gradient, edge strength, variance, etc.
MultiStati
- 方差分析与MATLAB应用、聚类分析及MATLAB应用、主成分分析及MATLAB应用。-Analysis of variance with the MATLAB application, the application of cluster analysis and MATLAB, principal component analysis and MATLAB applications.
chap08
- ex6_1 ~ ex6_3二项分布的随机数据的产生 ex6_4 ~ ex6_6通用函数计算概率密度函数值 ex6_7 ~ ex6_20常见分布的密度函数 ex6_21 ~ ex6_33随机变量的数字特征 ex6_34 采用periodogram函数来计算功率谱 ex6_35 利用FFT直接法计算上面噪声信号的功率谱 ex6_36 利用间接法重新计算上例中噪声信号的功率谱 ex6_37 采用tfe函数来进行系统的辨识,并与理想结果进行比较 ex6_38 在置信度为0
VarAnalysis
- 清华大学数学实验之方差分析幻灯片与Matlab源码-Tsinghua University, Experimental Math slides of interpolation and fitting with the MAT-source
statistic
- JAVA图形界面算平均值 方差 简单的JTREE是应用-JAVA graphical interface for easy operator JTREE average variance applications are
otsu
- 最大类间方差法-otsu算法的原代码 该方法简单有效-otsu algorithm code
Application_of_the_OTSU_Method_Image_Processing.ra
- 最大类间方差法在图像处理中的应用.pdf-Application of the OTSU Method in Image Processing
max_sigma
- 这个程序利用最大类间方差算法求解自适应阈值,来进行图像分割的-The use of this procedure Otsu adaptive threshold algorithm to image segmentation
3
- 典型时间序列模型分析 设有ARMA(2,2)模型, X(n)+0.3X(n-1)-0.2X(n-2)=W(n)+0.5W(n-1)-0.2W(n-2) W(n)是零均值正态白噪声,方差为4 (1)用MATLAB模型产生X(n)的500观测点的样本函数,并会出波形; (2)用你产生的500个观测点估计X(n)的均值和方差; (3)画出理论的功率谱 (4)估计X(n)的相关函数和功率谱 -Analysis of typical time series model w
5
- 一种Kalman滤波系统误差及其协方差矩阵的半参数估计方法的研究文章-A Kalman filter system error covariance matrix and the semi-parametric estimation methods of research papers
PSO
- 采用粒子群算法和最大类间方差相结合进行图像分割。-Using particle swarm algorithm and Otsu image segmentation combining.
zishiying
- 基于辅助变量的最小方差自校正控制,有仿真程序和论文。-Auxiliary variable based on the minimum variance self-tuning control, a simulation program and papers.