完美的主同步信号PSS在时域上的相关仿真MATLAB程序

好不容易找到的matlab的时频分析工具箱，添加的方法不说了，里面的工具很全，挺好用的，希望对大家有帮助。(Finally found the time-frequency analysis matlab toolbox, adding that the method, which is full of tools, very good use, and would like to help everyone.)

matlab应用的小程序 可以根据需要更改参数(matlab applications, applets can change parameters)

主成分分析(PCA)是一个数学的过程,它使用一个正交变换转换成一组观测到的可能相关的因素形成一套价值观的独立变量称为主成分。主成分的数量小于或等于原始变量的数目 (Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components. The number of principal components is less than or equal to the number of original variables)

matlab code for event driven data harvesting in wsn

计算井筒注入或者生产过程中的摩阻系数，可用于井筒压力分布预测(Wellbore fraction coefficient calcuation method)

用牛顿法解方程组，迭代法解方程组和求矩阵最大特征值(Newton Method with equations, iterative methods for solution of matrix equations and the largest eigenvalue)

文主要是给Matllab工具箱初学者的一些建议和使用技巧，里面附有很多经典教学例子和源代码 (hhh)

车辆悬架振动分析及主动控制,建模，能控能观测性分析，响应计算(vehicle suspension system vibration analysis and active control)

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

说明：  《MATLAB数值分析与应用(第2版)》重点讲述数值分析的思想和原理并图示其结果，尽可能避免过深的数学理论和过于繁杂的算法细节，有助于读者更有效地利用MATLAB的超强功能，来处理科学计算问题。《MATLAB数值分析与应用(第2版)》可作为各科学和工程专业本科生或研究生“数值分析”课程的教材或参考书，也可作为科技人员和计算机爱好者使用MATLAB的参考工具书。("Matlab numerical analysis and application (2nd Edition)" focuses on the idea and principle of numerical analysis, and illustrates the results, so as to avoid too deep mathematical theory and too complicated algorithm details as far as possible, which helps readers make more effective use of the super function of MATLAB to deal with scientific calculation problems. Matlab numerical analysis and application (2nd Edition) can be used as a teaching material or reference book for undergraduate or graduate students of science and engineering, and also as a reference book for scientists and computer enthusiasts to use MATLAB.)