phase_test_wave

抛物线差分格式求解，包括一维古典显格式，DFF格式，CN格式，局部一维方法和预测校正格式的求解；文件中有具体的题目及解法说明并还有matlab程序供大家参考；易读易懂。 (Difference scheme for solving parabolic, including the one-dimensional classical explicit schemes, DFF format, CN format, local one-dimensional methods and predictor-corrector format to solve file specific description of the subject and method, and there are matlab program for your reference Easy to read understand.)

Shape variation of the Gaussian pulse

实现9/7小波正反变换 注1： 采用标准正交方法，对行列采用不同矩阵（和matlab里不同） 注2： 为了保证正交，所有边界处理，全部采用循环处理 注3： 正交性验证，将单位阵带入函数，输出仍是单位阵（matlab不具有此性质） 注4： 此程序是矩阵实现，所以图像水平分量和垂直分量估计被交换位置 注5： 此程序实现的是类小波（wavelet-like）变换，是介于小波包变换与小波变换之间的变换 注6： 此程序每层变换相对原图像矩阵，产生的矩阵都是正交阵，这和小波包一致 注7： 但小波变换每层产生的矩阵，是相对每个待分解子块的正交矩阵，而不是原图像的正交矩阵 注8： 且小波变换产生的正交矩阵维数，随分解层数2分减少 注9: 提升系数可以在MATLAB7.0以上版本，用liftwave( 9.7 )获取，这里直接给出，考虑兼容性 注10：由于MATLAB数组下标从1开始，所以注意奇偶序列的变化 注11：d为对偶上升，即预测；p为原上升，即更新(Note 1: The standard orthogonal method, the ranks of the different matrices (and matlab where different) Note 2: In order to ensure orthogonality, all boundary treatment, all with recycling Note 3: Orthogonal validation, the identity matrix into the function, the output is still the unit matrix (matlab does not have this property) Note 4: This program is a matrix to achieve, so the image horizontal and vertical components is estimated to be swapped Note 5: This class implements the wavelet (wavelet-like) transformation, is between the wavelet packet transform and wavelet transform between Note 6: This procedure transforms each image relative to the original matrix, the resulting matrix are orthogonal matrix, consistent with this and wavelet packet Note 7: But each generation wavelet transform matrix, is to be broken down for each sub-block relative to the orthogonal matrix, rather than the original image of the orthogonal matrix Note 8: Wavelet transf)

程序名称:gm21.m GM(2,1)模型 程序功能:利用GM(2,1)模型进行预测。 程序编写:mongvi@126.com 开发指导:刘思峰教授 程序发布:南京航空航天大学灰色系统研究所(Program name: GM gm21.m (2,1) model Program function: using GM (2,1) model to predict. Programming: mongvi@126.com Development direction: Professor Liu Sifeng)

适用于初学者接触的GA算法，是其核心思想的简单实现(GA algorithm suitable for beginners is a simple implementation of its core idea)

energy leach a new version

svmref1VR m file SVM一对多递归特征消除特征选择算法(SVM-RFE 1VR m file)

先进PID控制及其MATLAB仿真(刘金锟)(Advanced PID control and MATLAB simulation (Liu Kun) )

Analytic Model for Gain Modulation in EDFAs

苹果特征提取，按照灰度化，直方图均衡化，中值滤波，边缘检测，特征提取的顺序来 特征提取中，取得“比例系数”时，选择一张横径图片，序号与之前选择图像的相同(Apple feature extraction, according to grayscale, histogram equalization, median filtering, edge detection, feature extraction feature extraction in order to obtain " scale factor" , select a diameter of pictures, serial number and select the image before the same)