GA算法工具箱

编码，交织，编纂和调制的GSM信道仿真。具有一定得应用价值(have something)

利用tukey和barlett方法对随机信号的功率谱进行估计。迭代方法来判断性能(Tukey and the use of random signal barlett method to estimate the power spectrum. Iterative method to determine the performance of)

说明：  信号处理卷积计算，开发环境是MATLAB.(Convolution signal processing terms, the development environment is MATLAB.)

matlab GUI学习的例子，时钟程序（主要用到了定时器）， 请math大哥批评指正！(matlab GUI case study, the clock program (main use of the timer), your brother criticism and math!)

The local binary pattern (LBP) is a simple yet very efficient operator which labels the pixels of an image by thresholding the neighborhood of each pixel and considers the result as a binary number. Perhaps the most important property of the LBP operator in real-world applications is its invariance against monotonic gray level changes caused, for example, by illumination variations. Another equally important is its computational simplicity, which makes it possible to analyze images in challenging real-time settings. LBP is also very flexible: it can be easily adapted to different types of problems and used together with other image descriptors

入门级代码，matlab源代码的第一部分(Entry-level code, matlab source code for the first part of the)

基于磁流变半主动悬架的模糊控制优化，其中磁流变减振器使用Bouc_Wen模型。(Fuzzy control optimization based on magnetorheological semi-active suspension,The Bouc_Wen model is used in the magnetorheological damper.)

通信信号处理中的七阵元四信号元DOA估计，方法有CAPON、MUSIC、ESPRIT法-Communications signal processing array element seven million four signal DOA estimation, methods have CAPON, MUSIC, ESPRIT method

将动态标定实验的阶跃响应数据进行处理之后，分离实验装置中的非传感器造成的影响，而后利用PSO算法进行传感器的建模-Dynamic calibration of the experimental step response data of the deal, the separation of experimental apparatus in the impact of non-sensor, and then use PSO algorithm sensor modeling

Code for denoising images. This code differs from standard wavelet denoising techniques in that it uses non-orthogonal wavelets, and unlike existing techniques, ensures that phase information is preserved in the image. Phase information is of crucial importance to human visual perception. Also, this code does have an effective way of determining threshold levels automatically. (Code for denoising images. This code differs from standard wavelet denoising techniques in that it uses non-orthogonal wavelets, and unlike existing techniques, ensures that phase information is preserved in the image. Phase information is of crucial importance to human visual perception. Also, this code does have an effective way of determining threshold levels automatically.)