Music_DOA

说明：  具有遗忘因子的最小二乘算法实现的一个案例，包含了仿真模型及M文件，且M文件配有详细的注释，通俗易懂。(Least squares algorithm with forgetting factor to achieve a case, including the simulation model and the M file, and the M file with detailed notes, easy to understand.)

说明：  基于matlab运用最小二乘法对信号进行消除趋势项处理以及五点三次平滑法对信号进行平滑处理，消除毛刺等(denoising vibration signal based on matlab)

说明：  两个序列的互相关函数的归一化运算。 先生成两个序列，再调用。(cross-correlation function)

MIMO ofdm in matlab analysys

说明：  提取图像的GLCM矩阵，并计算出Haralick建议的14个特征值(Extract images GLCM matrix, and calculate the 14 Haralick features of the proposed values)

说明：  支持向量机最初用来解决模式识别问题，目的是发现泛化性能好的决策规则。然而，随着Vapnik的 不敏感损失函数的引入，支持向量机已经扩展为解决非线性回归估计问题，而且与神经网络方法相比，有着显著的优越性，被认为是人工神经网络方法的替代方法，已经成为目前机器学习领域的研究热点和焦点。(Support vector machine (SVM) was originally used to solve the problem of pattern recognition. However, with the introduction of Vapnik's insensitive loss function, support vector machine (SVM) has been extended to solve the problem of nonlinear regression estimation. Compared with neural network method, support vector machine (SVM) has obvious advantages. It is considered as an alternative method of artificial neural network method, and has become the research hotspot and focus in the field of machine learning.)

用MATLAB编写的用于回归分析的程序源代码 经调试成功，可以直接运行(Written with the MATLAB program for regression analysis, the success of the source code through the debugger, you can directly run the)

跳频通信中模式相加的原代码（配合Mmod.m，reMmod.m,U.m）一起使用。（附MATLAB库函数说明）(The sum of frequency-hopping mode of communication in the original code (with Mmod.m, reMmod.m, Um) use. (With MATLAB library function description))

说明：  小波神经算法程序，经验证可正常运行，可作为学习使用。(Wavelet neural algorithm procedures, normal operation can be certified as learning to use.)

本程序已被本人整理到WORD文档中，编程语言为MATLAB，本文设计的滤波器采用傅里叶级数展开法。模拟的杂波的功率谱密度采用BVURG法，概率密度函数的估计采用直方图估计法，设计参数皆在文档中表明。此程序已经验证是正确可执行的，并能生成图形，值得下载！(This program has been organized into WORD document I, the programming language MATLAB, the filter designed in this paper Fourier series expansion method. Simulated clutter power spectral density using BVURG method, the probability density function is estimated using histogram estimation methods, design parameters are indicated in the document. This procedure has been verified is correct executable, and can generate the graph, it is worth to download!)