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模糊预测控制及其在列车自动驾驶中的应用，并设计了常规的PID控制器(Fuzzy Predictive Control and Its Application in Automatic Train Operation and design of the conventional PID controller)

UKF matlab algorithm. The implementation is already make. You just have to understand the algo before run. You can modified some code

利用自然梯度算法来对于5 类信号进行盲信号分离，采用自然梯度法对混合的信号进行 分离并分析其性能，并比较不同步长对于信号分离的影响(Use of the natural gradient algorithm for the five types of signals blind signal separation, using the natural gradient method for mixed signal Separation and analysis of its performance and compare sync signal separation for the impact of long)

实现图像的游程编码，有示例，希望大家喜欢(The run-length encoding of image, there are examples, I hope you like)

this is Matlab Circular convolution file name is circonv.m

说明：  ibm的相关开发资料(ibm related development information .......................... clause 8)

在人脸局部图像中定位嘴的中心。MATLAB环境代码，配有实验用图。具体步骤：对输入图像进行二值化处理-标注二值图像中的连通分量-找出最大的连通分量-计算最大联通分量中心。《精通Matlab数字图像处理与识别》(The face part image is positioned in the center of the mouth. MATLAB environment code, with experimental Fig. Specific steps: input image binarization processing- marked binary images connected components- find the largest connected component- component to calculate the maximum Unicom center. " Mastering Matlab digital image processing and recognition." )

说明：  用双线性变换法设计巴特沃斯滤波器，并模拟相应的图像(Bilinear transformation method with Butterworth filter design and simulation of the corresponding image)

此程序主要功能是 1 画出标准零阶贝塞尔函数， 2 在估计多普勒时，接收信号的实部或者虚部的自相关函数接近于贝塞尔函数，所以画出了一条接近于贝塞尔函数的曲线图(The main function of this program is 1 shows the standard zero-order Bessel function, 2 estimate the Doppler, the autocorrelation function of the received signal or the imaginary portion of the real part close to the Bessel function, so to draw a graph of the Bessel function is close to)

对接收到得信号进行分离是信号处理过程中经常用到的，然而在完全不知道接受信号先验知识的情况下进行分离就是所谓的盲源分离，此程序就是重多盲源分离算法中比较重要的一种变步长自适应盲源分离算法——EASI(Butt had been received too signal separation is the signal processing is often used, but do not know to accept in full prior knowledge of the signal to separate the case of the so-called blind source separation, this procedure is more emphasis on blind source separation algorithm to compare important type of variable step-size adaptive algorithm for blind source separation- EASI)