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matlab程序，通滤波器的例子,详细的看，适合初学matlab和图形图像处理的例子(matlab procedures pass filter example, detailed view, suitable for beginners and graphics image processing matlab example)

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 . )

关联规则挖掘算法的matlab程序，我编写了Apriori算法的FLpMGH 步骤，可以自动生成关联规则，计算支持度、置信度以及 aXlJybd 检测，很好的小程序。(Association rule mining algorithm matlab program, I wrote FLpMGH step Apriori algorithm can automatically generate association rules, computing support, confidence and aXlJybd detection, good little program.)

说明：  将机器学习分类的结果生成混淆矩阵，并画出混淆矩阵。。。。。。。。(generating confusion matrix and draw it)

该程序为OFDM正交频分复用技术的基础仿真，为最初加入信号，在信噪比为0时的波形！(The program for the OFDM orthogonal frequency division multiplexing based simulation, adding to the initial signal, the waveform signal to noise ratio is 0!)

这是一种基于粒子权重去噪代码,本人自己实现，非常实用。(Based on the particle weight denoising code)

加权余量法--子域法求解一维扩散方程。参考书《Computational Techniques for Fluid Dynamics》(The weighted residual Law- sub-domain method for solving one-dimensional diffusion equation. Reference book " Computational Techniques for Fluid Dynamics" )

遗传算法 量子遗传算法 模拟退火 粒子群算法 代码很规范(several algorithm （GA QGA SA ）)

Matlab基础及其应用教程，方便初学者学习(Matlab basis of their application tutorial, easy for beginners to learn)

说明：  注水算法：一个简单的注水算法，通常可用于功率分配等等。。。。。。(Water injection algorithm: a simple water injection algorithm, which can usually be used for power distribution and so on. . . . . .)