rp258

说明：  逐条路由算法的matalb实例仿真，绝对跑得通请大家放心(hop by hop routing)

efficient LBP Local binary patterns (LBP) is a type of feature used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found to be a powerful feature for texture classification it has further been determined that when LBP is combined with the Histogram of oriented gradients (HOG) descriptor, it improves the detection performance considerably on some dataset

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

一个基于LBM颜色模型的MATLAB算法编程，以便针对LBM颜色模型的求解。(A MATLAB programming algorithm based on LBM color model, so that for LBM color model to solve.)

introduction of fisher

一种求解目标函数最小化的MATLAB仿真程序.(A solution of the objective function to minimize the MATLAB simulation program.)

获取导航电文，通过卷积地方法，十分有用，希望能够帮助大家！(Access to the navigation message, through the method of convolution and is very useful to help you!)

自适应均衡领域的经典算法，最小均方误差算法（LMS）算法的数字均衡器建模源代码。建模建立了一个通信系统的收发两端，并模拟了信道衰减和噪声。并在接收端使用了数字均衡器。主程序中一次在接收端使用了自适应均衡器，另一次没有使用，可以清楚看到均衡前后误码率的差别。(The field of classical adaptive equalization algorithm, the minimum mean square error algorithm (LMS) algorithm for modeling digital equalizer source code. Modeling the establishment of sending and receiving ends of a communication system, and simulate the channel attenuation and noise. And at the receiving end using a digital equalizer. Once the main program at the receiving end using adaptive equalizer, another did not use, you can clearly see the difference before and after the equalizer BER.)

RGB图片转化HSI的matlab源码，希望有帮助(HSI conversion RGB image of the matlab source code, hope that helps)

识别不同的调制方式，例如AM，psk等。(Identify the different modulation methods, such as AM, psk and so on.)