minimos_cuadrado_y_minimos_cuadrados_ponderados

在C/C++中如何调用Matlab ,是我们经常遇到的一个问题,特别是在我们刚刚入门的时候.这个代码很方便的解决这个问题(In C/C++ How to call Matlab, is that we often encounter a problem, especially in the time we were just getting started. This code is very convenient to solve this problem)

该算法是bimoment非线性归一化的改进，可以对最终的识别率有所提高，而且该算法能够自动的调整汉字的中心，并有很强的抗干扰能力(The algorithm is non-linear normalized bimoment improvements can eventually improve the identification rate, and the algorithm can automatically adjust the center of Chinese characters and has a strong anti-interference ability)

E_pulse methode target identification

这是包含丰富内容的流行学算法工具，里面有大量的MATLAB仿真示例，希望对大家有帮助(It contains rich content tools for popular school algorithm, which has a large number of MATLAB simulation example, we want to help)

koch曲线绘制的简单matlab小程序,帮助大家更好理解分形(koch figure plot on matlab )

扩频通信系统仿真实验,　　　①传输的数据随机产生，要求采用频带传输（BPSK调制）； 　　　②扩频码要求采用周期为31的m序列； 　　　③仿真从基站发送数据到三个不同的用户，各不同用户分别进行数据接收； 　　　④设计三种不同的功率延迟分布，从基站到达三个不同的用户分别经过多径衰落（路径数分别为2，3，4）； ⑤三个用户接收端分别解出各自的数据并与发送前的数据进行差错比较。(Spread spectrum communication system simulation)

这是matlab编写的Logistic Discrimination 和 KNN分类器代码。这两个算法的实现参考了《Introduction to Machine Learning》。 除此在代码中还包含了调用matlab自带的libsvm的例程。rumLogisticDiscrimination， runKnn， runSvm分别对这3个算法在数据集liver_train_data上的分类准确度进行测试。测试结果在code report.doc 中有简要描述。(This code implements the Logistic Discrimination and KNN classifier. The implementation is according to the text book <<Introduction to Machine Learning>>. We have also compared the classification accuracy among Logistic Discrimination, KNN and SVM on data set liver_train_data. A brief test report is included as well. Enjoy :).)

matlab 源码,基于小波变换的语音信息隐藏的实现,对原始语音信息和水印信息都经过三层小波分解处理后,将水印信息的低频信号嵌入原始语音信号的部分高频信号部分实现隐藏.源代码不仅给出隐藏过程,并且给出的在随机噪声,重采样,信息压缩情况下的抗攻击特性.源代码清晰有注释(matlab source code, based on wavelet transform voice messages hidden realize, the original voice information and watermark information after a three-treatment, after wavelet decomposition, the watermark information embedded in the low-frequency signals of the original speech signal realize some hidden part of high-frequency signals. source code is given not only to hide the process, and given in random noise, resampling, compression of information in case of anti-attack features. source code has a clear Notes)

除去接受信号中期望信号的mvdr 自适应波束形成算法（自相关矩阵估计）(Remove accepts signals desired signal mvdr adaptive beamforming algorithm (autocorrelation matrix estimation))

LSL自适应算法的MATLAB仿真，包括LSL自适应算法的流程仿真，性能仿真，信号模型的构建(MATLAB simulation of LSL)