stft

Binary erosion and dilation, with fast iterative calls. For any structuring element other than square or disk this function is way faster than imerode.m and imdilate.m (more than an order of magnitude). It s also handy when you don t have the Matlab Image Processing Toolbox :-)... It also allows very fast iterative calls (for instance when sweeping the structuring element while looking for a certain effect, threshold in image statistics, etc). See the help in bmorph.m and the attached .pdf file.

least means square algorithm using matlab

Matlab 利用GUI 实现了串口读取功能(Matlab GUI Serial Read and Write)

说明：  神经网络的计算，包括训练和测试两部分，利用的是最小均方误差算法。(Nerual network calculation,including training and working part,utilizing MMSE algorithm.)

经验模态分解（EMD）方法（平稳化过程）是一种全新的处理非平稳数据序列的方法，其基本思想是：假如一个原始数据序列X(t)的极大值或极小值数目比上跨零点（或下跨零点）的数目多两个（或两个以上），则该数据序列就要进行平稳化处理(Empirical Mode Decomposition (EMD) method (a smooth process) is a new deal with non-stationary data sequence method, the basic idea is: If a raw data sequence X (t) the maximum or minimum number of than the cross-zero (or under the cross-zero) number more than two (or more), then the data is necessary to carry out a smooth sequence of treatment)

Book + source codes +solution manual Numerical Methods in Engineering with MATLAB is a text for engineering students and a reference for practicing engineers.

Matlab based Digital filtering Interface

MATLAB 编译 java 用户手册，官方指南，说明很详细(MATLAB Builder for Java Users Guide)

A code to fit a curve on sampled data using moving least squares method. MLSM is generalized form of weighted least squares and firstly introduced to use in meshless Finite Element Method (FEM). The main feature of this method is that the weight function is updated from point to point which enables the user to control “closeness of fit”.This code is performed for 1D fitting and is tested on a sinusoid function.

XPL cabel analyse and modelisation