bp

图像融合 matlab编程环境 很简单的一个程序但是很能说明图像融合中的问题(Image fusion matlab programming environment is a very simple procedure, but is illustrative of the problem of image fusion)

说明：  多分类算法 matlab源代码 multiclassify(multiclassify)

Introduction to Emacs LISP programming.

说明：  广义S变换，具有良好的分析特性和局部的时频的特性，而谱白化和反褶积也是高分辨处理中的一种有效的频率补偿手段，本文利用他们的他们的各自优点，使二者结合起来，该方法对地震信号用广义S变换分解，进行频率补偿再进行重构，得到高分辨率时间信号。  理论模型试算和实际地震处理结果证明了该方法的正确性和有效性。  关键词：广义S变换，谱白化，高分辨处理(Generalized S transformation (GST) has good analyzing feature and good Time-frequency localization,. spectrum whitening and deconvolution is an Effective tool for frequency compensation , Utilizing both their advantages , The method first conducts GST decomposition to seismic data,. doing high frequency compensation and then reconstruction to get high resolution seismic to get a high-resolution time signal. Theoretic modeling and field seismic data processing results has proved this method corrected and effective . )

说明：  用runge-kutta 法解常微分其中有实例，可以用于验证(Using runge-kutta method for solving ordinary differential examples of which can be used to verify)

光孤子模拟基本程序，要自己设置参数，N P0 gamma等。(Soliton analog basic procedures to set up their own parameters, N P0 gamma and so on.)

Cholesky分解，以某个具体的矩阵进行的分解，便于求解线性方程组(Cholesky decomposition)

针对“BreastCancer”数据集，作为对比，第一次对特征集直接进行SVM分类，第二次使用粒子群算法进行特征选择后再进行SVM分类。并且对比和分析了两次分类的结果。(For "BreastCancer" data set, as a comparison, the first time the feature set is directly classified by SVM, and the second time the feature set is selected by particle swarm optimization before SVM classification. The results of the two classifications are compared and analyzed.)

Finger print recognition using minutia algorithm

此为《MATLAB教程》的第三章：矩阵运算。该书内容翔实，深入浅出，不可多得。(This is the MATLAB Guide Chapter III: matrix calculation. Book is informative, easy, hard to come by.)