可以编译的自适应控制算法，matlab程序

这是一个数字图像处理的程序，能够实现目标检测与跟踪，事项了EM算法、是对原有的算法改进。(This is a program of digital image processing, target detection and tracking can be achieved, the matter of the EM algorithm, the improved algorithm is the original.)

说明：  动态矩阵双输入，有约束的条件之下进行仿真。(Dynamic Matrix dual-input, under the conditions of constrained simulation.)

说明：  图像增强的目标是改进图片的质量，例如增加对比度，去掉模糊和噪声，修正几何畸变等；图像复原是在假定已知模糊或噪声的模型时，试图估计原图像的一种技术。 图像增强按所用方法可分成频率域法和空间域法。前者把图像看成一种二维信号，对其进行基于二维傅里叶变换的信号增强。采用低通滤波（即只让低频信号通过）法，可去掉图中的噪声；采用高通滤波法，则可增强边缘等高频信号，使模糊的图片变得清晰。具有代表性的空间域算法有局部求平均值法和中值滤波（取局部邻域中的中间像素值）法等，它们可用于去除或减弱噪声。 (A sharp and clear image is not directly produced from the optics, however, digital signal processing applied to the sampled image produces a sharp and clear final image that is also insensitive to misfocus related aberrations. This paper gives an overview of Wavefront Coding and example images related to the two applications of machine vision/label reading and biometric imaging. Design techniques of Wavefront Coding are unique from that of traditional imaging system design since both the optics and digital processing characteristics of the system are jointly optimized for optimum system performance.)

通过改变副载波偏移模拟仿真与接收到的未经偏移的互相关值(By changing the cross-correlation value of subcarrier offset simulation and received without offset)

说明：  读取sac数据子函数,再处理中直接调用该函数即可达到读取目的。(the code of read .sac files.)

图像分割是分区的过程数字图像成多个片段 （设置的像素为单位），也被称为superpixels)。图像分割的目的是简化和/或更改图像的表示成是更有意义和更容易地分析的东西。 [ 请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报

matlab环境下编写的fft算法实现的源代码(prepared environment matlab algorithm fft source code)

MIMO 场景下的SVD分解后，进行eigenvector预编码所获得信道容量(the capacity after deploying eigenvector beamforming)

利用基于粒子群算法的灰色模型对航空发电机进行状态趋势分析技术研究，所得到的分析结果平均相对误差为3.99 。此模型为粒子群优化算法对GM(1,1)模型的改进模型，因此称为基于粒子群优化算法的GM(1,1)模型。(Using aviation turbine gray model based on particle swarm optimization state trend analysis technology research, analysis the average relative error is 3.99 . This model for particle swarm optimization algorithm improved model GM (1,1) model, the so called GM (1,1) model based on particle swarm optimization algorithm.)

运用一种新的AHP评价方法对分层指标进行评级，新颖之处在于利用了三角模糊数的概念改进评价。(Employing a new evaluation method AHP hierarchical index ratings, novelty is the use of the concept of triangular fuzzy numbers improved evaluation.)