Matlab的云模型函数

用超球面支持向量机进行多类分类,每个超球面覆盖一个类(Hypersphere support vector machines using multi-class classification)

深度优先搜索算法Matlab源码。。。。。

插值与拟合，解方程，数据分析，粒子图像分割及匹配均为自行编制的子例程，包含收发两个客户端的链路级通信程序,利用matlab GUI实现的串口编程例子，实现串口的数据采集，使用拉亚普诺夫指数的公式。

fir: Transform lowpass filters to highpass

communication technology using Li-Fi method

灰色预测方法的特点表现在：首先是它把离散数据视为连续变量在其变化过程中所取的离散值，从而可利用微分方程式处理数据；而不直接使用原始数据而是由它产生累加生成数，对生成数列使用微分方程模型。这样，可以抵消大部分随机误差，显示出规律性。(The characteristics of the grey prediction method are as follows: First, it regards the discrete data as the discrete value of the continuous variable in its change process, so that the differential equation can be used to process the data; instead of using the original data directly, it generates the cumulative generation. Number, using a differential equation model for generating a series. In this way, most of the random errors can be offset, showing regularity.)

MATLAB program of texture smoothing

格式：PDF 书名：通信原理基于Matlab的计算机仿真 超星SS号：11686764(Format: PDF Title: Communication Theory of the computer simulation based on Matlab Chaoxing SS Number: 11686764)

为了得到具有一般相关量测噪声线性系统的递推滤波算法, 将该问题转化为具有相关量测 单值随机向量的滤波问题,根据单值随机向量的线性无偏最小方差估计算法,导出了量测噪声为一 般相关鞅差序列的线性系统的最优递推状态估计滤波算法.通过数值仿真,将该算法与假定量测噪 声不相关时的Kalman 滤波算法进行了比较,证明了该算法的有效性(In order to obtain the recursive f i ltering alg orithm for a linear system w ith general correlat
ed measurement noises, the problem is t ransformed to that of filtering for a single random vector w ith correlated measurements. According to the linear unbiased minimum variance estimation algorithm for a single random vector, a recursive filtering algori thm is presented. A digital simulat ion technique is used such that the new algorithm can be compared w i th the Kalman f i ltering algorithm, assuming that the measurement noises are uncorrelated. Validi ty of the proposed algorithm is thus proved)

分数阶傅里叶变换的matlab程序以及一些讨论。给出了源代码和一些图表，以及一些相关论文的论述(Fractional Fourier transform using Matlab.A discussion of the problem is also included.)