rinex

说明：  shtXX 实际应用样例，有详细中文说明，已经调试验证过(shtXX the practical application of the sample, a detailed explanation in Chinese, has been verified debugging)

现代通信系统使用MATLAB第二版中所有程序m文件(modern communications system MATLAB second edition document all the procedures m)

Learning Selenium in 6 Easy Steps

this file implement weighted linear method in pattern recognition

共轭梯度法的matlab实现，给出任意的一个对称矩阵，可通过较小的迭代次数得到所要求精度的数值解(Conjugate gradient method matlab to achieve, given any symmetric matrix by a smaller number of iterations to obtain the required accuracy of the numerical solution)

ofdm系统qpsk调制、awgn信道下的仿真，对于ofdm信号有全面的认知(qpsk modulation ofdm systems, simulation awgn channel under the ofdm signal for a comprehensive awareness)

碰磨相关的非线性输出频率响应的处理程序，MATLAB应用，应该对做这方面研究的有用处。(Rubbing nonlinear output frequency response associated with the process, MATLAB applications should do research in this area useful.)

k最近邻分类器。编写的一个matlab函数。输入向量Z表示所属的类，返回一个向量，表示由k最近邻分类给定的。(k nearest neighbor classifier. Write a matlab function. Input vector Z that belongs to the class, returns a vector, expressed by the k nearest neighbor classification given.)

对表面肌电信号的分析处理的Matlab程序，包括：求频谱、倒谱、功率谱和中值频率等。(Surface EMG signal analysis and processing in Matlab, including: the demand spectrum, cepstrum, power spectrum and the median frequency.)

The optimization behavior of the self-adaptation (SA) evolution strategy (ES) with intermediate multirecombination (the (=I )-SA-ES) using isotropic mutations is investigated on the general elliptic objective function. An asymptotically exact quadratic progress rate formula is derived. This is used to model the dynamical ES system by a set of difference equations. The solutions of this system are used to analytically calculate the optimal learning parameter  . The theoretical results are compared and validated by comparison with real (=I )-SA-ES runs on typical elliptic test model cases. The theoretical results clearly indicate that using a model-independent learning parameter  leads to suboptimal performance of the (=I )-SA-ES on objective functions with changing local condition numbers as often encountered in practical problems with complex fitness landscapes.