2-khati-sazi

说明：  RBF神经网络的源程序 遗传RBF网络 RBF神经网络对非线性系统进行逼近(RBF neural network of the source of genetic RBF neural network RBF network to approximate the nonlinear system)

source code for dhss

thirty pulse converting system.enjoy on it

三种PN序列自相关性分析，和循环移位互相关分析gold，小m序列，walsh码(Three kinds of PN sequence from the correlation analysis, and rotate the cross-correlation analysis, contants gold, small m sequence, walsh code)

处理一段语音的卡尔曼滤波，配合以LPC模型求转移矩阵参数(Processing a voice of Kalman filtering, in line with the LPC model parameters seeking transfer matrix)

可以实现的功能是：基于未知输入观测器的故障检测算法(You can achieve the function is: unknown input observer based fault detection algorithm)

基于旋转不变子空间算法的DOA估计，包含了LS-ESPRIT,MATRIX-ESPRIT,R-ESPRIT,TAM-TOEPLITZ,TLS-ESPRIT算法的仿真程序(The DOA estimation of ESPRIT, includes LS-ESPRIT,MATRIX-ESPRIT,R-ESPRIT,TAM-TOEPLITZ and TLS-ESPRIT)

对图像进行降维，用少量图像的主成分去描述整个图像以提高系统的效率。(Reduce the dimensions of the image, with a small amount of the principal component image to describe the whole image to improve the efficiency of the system.)

说明：  本文介绍了MATLAB 语言的特点以及图像处理工具箱实现的经典图像处理 技术。应用该工具箱对一实拍的芯片图像进行前期预处理，通过实例验证了该语言具有强大的矩 阵运算与图形处理能力，是一种简洁易学，可读性强、功能强大的应用软件，对它的应用可以快 速实现模拟仿真，大大提高实验效率。(This article describes the characteristics of the MATLAB language and image processing toolbox to achieve the classic image processing techniques. Application of the toolbox of a chip shot is pre-image pre-processing, an example of the language has a powerful matrix calculation and graphics processing capability, is a simple and easy to learn, readable, and powerful software applications, on the its application can quickly achieve the simulation, significantly improve the efficiency of the experiment.)

曲线拟合法：本方法分别利用一元线性函数、对数函数、指数函数和抛物线函数对数据拟合，取拟合优度判定系数最大者作为预测模型，得出预测值及预测区间（置信度为0.95）(Curve fitting: This method is the use of a linear function, respectively, logarithmic, exponential and parabolic functions for data fitting, goodness of fit to take the maximum coefficient of determination, as predicted by the model, predicted values ??and prediction intervals obtained (confidence 0.95))