matlab--7-4code

IndexOrder : can change indexing Order Right to left or Left To Right , U can Change Default From en_RightToLeft to en_LeftToRight if you want. ##### HorizontalyOrder : if set to false then vertical ordering ##### SetFocusFirstINDEX : if set to true then Finaly First Component in form who have index = 0 Setfocuse

MATLAB Code for Shape from Shading

说明：  此程序主要实现CAZAC序列的OFDM系统同步，该同步可以实现定时同步和载波频率同步。(The programme realizes CAZAC trainning symbol in OFDM systems)

基于RBF神经网络整定PID simulink仿真模型 最近在研究这个课题(RBF neural network-based tuning the PID Simulink simulation model to study the issue)

空气质量降维B-P神经网络评价法及其MATLAB实现 简介: 用主成分分析将多维空间的样本数据降维到低维空间，将其作为BP网络的输入。BP网络的算法采用LM优化法。描述了该网络的MATLAB程序语言实现过程。(Air quality dimension reduction BP neural network uation method on MATLAB Introduction: Using principal component analysis will drop the sample data in multidimensional space dimension to low-dimensional space, as the input of BP network. BP network algorithm using LM optimization method. The network describes the MATLAB programming language implementation process.)

matlab的又一本教程，内用详细，丰富。分类明确，是一本很好的工具书。(matlab another in this tutorial, which used detailed, rich. Categories clear, is a very good tool.)

Matlab Image Fusion Toolbox for image fusion algorithm based on bandelet transform. This toolbox contains Matlab files that implement the image fusion algorithms described in paper Xiaobo Qu, Jingwen Yan, Guofu Xie, et al. A Novel Image Fusion Algorithm Based on Bandelet Transform. Chinese Optics Letters,Vol.5,No.10,pp:569-572, 2007

MATLAB in Maxwell speed distribution law teaching application

说明：  遗传算主法程序，可以进行函数最优值的求解。(GA can solve the unliner problems.)

：介绍了扩展卡尔曼滤波算法和无迹变换(unscented transformation，UT)算法，并对扩展卡尔曼滤波算法(EKF)和无 迹卡尔曼滤波算法(UKF)进行比较，阐明了UKF优于EKF。在此基础上，提出了一种基于Unscented变换(uT)的高斯和滤 波算法，该算法首先通过合并准则得到适当个数的混合高斯模型，逼近系统中非高斯噪声的概率密度(: Introduction of the extended Kalman filter algorithm and unscented transform (unscented transformation, UT) algorithm, the extended Kalman filter algorithm (EKF) and unscented Kalman filter (UKF) for comparison to clarify the UKF is superior to EKF. On this basis, we propose an approach based on Unscented Transform (uT) and the Gaussian filtering algorithm, which first of all, by merging the appropriate number of criteria to be a mixture of Gaussian model, which was close to the system of the Central African Gaussian noise probability density)