搜索资源列表
fractal_dimension
- 3 methods to calcul the fractal dimension (box-counting, DBC & segments methods)
ChaosToolbox2p0_trial
- 混沌工具箱（matlab）: 产生混沌时间序列 求时延(delay time) 求嵌入维(embedding dimension) 求关联维(correlation dimension) 等等.....
boxcount
- A set (e.g. an image) is called "fractal" if it displays self-similarity: it can be split into parts, each of which is (at least approximately) a reduced-size copy of the whole. A possible characterisation of a fracta
matlab
- 算差分盒维数的matlab程序。 让窗口中的每个像素都对分数维作出贡献。首先,计算某一尺度窗口的平均灰度值 ,然后判断每一个像素的灰度 ,若大于灰度平均值 ,则累加其灰度值为 max ,若小于灰度平均值 ,则累加其灰度值为min ,用max 和min代替 在 Sarkar 和 Chaudhuri 算法中的最大值和最小值 ,再通过拟合求出分数维。 -Differential count box dimension matlab progr
correlation-dimension-GP
- G算法计算关联维的 Matlab 程序 G算法计算关联维的 Matlab 程序-GP algorithm for calculating the correlation dimension of the Matlab program GP correlation dimension algorithm of Matlab procedures
Theimagetextureanalyssbasedonthefractaldimension.r
- 图像纹理分析的源代码，基于分形维数的图像纹理分析-Image texture analysis of source code, based on fractal dimension of image texture analysis
fenxin
- 基于分形维数与小波变换的区域匹配方法，通过MATLAB实施。-Based on fractal dimension and wavelet transform regional matching
Fractal-dimension
- 提取图片的信息，计算其分形维数，能计算多种图形-Extract image information, to calculate the fractal dimension, can be calculated a variety of graphics
2010-02-05(C-C)
- C-C算法应用关联积分能够同时估计出时间延迟和嵌入维数，是相空间重构的前提。 本程序通过C-C算法计算duffing方程产生的混沌时间序列的时间延迟和嵌入维数。-CC algorithm is used to simultaneously estimate the correlation integral time delay and embedding dimension, is a prerequisite for phas
Fractaldimension
- 一个用来计算图像二维分形维数的matlab程序-A two-dimensional images used to calculate the fractal dimension of the matlab program
PCAandLDA
- 用pca 和 lda 实现数据的降维,加快机器的特征提取的速度。-Pca and lda of data with dimension reduction, feature extraction to speed up the speed of the machine.
fdvolfft
- fractal dimension calculator
pcass
- This an efficient implementation of PCA, which use smaller dimension of the data matrix to compute the eigenvectors-This is an efficient implementation of PCA, which use smaller dimension of the data matrix to compute th
pca
- PCA技术的一大好处是对数据进行降维的处理。我们可以对新求出的“主元”向量的重要性进行排序，根据需要取前面最重要的部分，将后面的维数省去，可以达到降维从而简化模型或是对数据进行压缩的效果。同时最大程度的保持了原有数据的信息。-A major advantage of PCA technology is reduce the dimension of the data processing. We can calculate the ne
PCA_LDA_Face_Verification
- PCA+LDA人脸识别，识别率高于单独PCA或LDA算法。需要matlab dimension reducation toolbox。-Face verification using PCA and LDA fusion. Better performance than single PCA or LDA algorithm. The image database is included. Matlab dimension reduct
LSI-Dimension-8602
- LSI Dimension 8602 datasheet information
LSI-Dimension-8652
- LSI Dimension 8652 datasheet information
Kmeans-two-dimension
- kmeans with two dimension
progarmlab4
- The Principal component analysis, is a standard technique used for data reduction in statistical pattern recognition and signal processing A common problem in statistical pattern recognition is feature selection or fea
PCA
- 光谱空间的主成分分析 PCA ：旨在利用降维的思想，把多指标转化为少数几个综合标。-Principal component analysis of spectral space PCA: dimension reduction ideas to use to index into a few more comprehensive standard.