4G-LTE-LTE-Advanced-for-mobile-broadband_2011

Energy sensing model

说明：  matlab初学者的教材,让你快速的入门并熟练掌握matlab.(matlab beginner s textbook, so you started quickly and master matlab)

各种随机分布的直方图，频谱估计图，频谱归一图(Various random distribution histogram, spectrum estimation map, the normalized frequency spectrum chart)

计算给定的传感器加速度信号的一阶香农熵，可改变信号分段数以改变熵值(calculate the signal s Shannon entropy)

MATLAB and C Programming for Trefftz Finite Element Methods

用C++实现窗函数的设计，采用的是海明窗为例子(Using C++ to achieve the design of window function, Hamming window is used as an example)

Box jekkins metodology on time series forecast video

实现粒子群算法的pid整定，适应于simulink模型的仿真，效果不错(Realize the pid tuning of particle swarm optimization algorithm, adapt to the simulation of simulink model, the effect is good)

插值，函数逼近，矩阵特征值计算，数值微分，积分，方程求根，非线性方程求解，迭代，随机数生成，特殊函数，常微分方程，偏微分方程等常用的matlab程序。(Interpolation, function approximation, matrix eigenvalue calculation, numerical differentiation, integration, finding roots of equations, nonlinear equations, iterative, random number generators, special functions, ordinary differential equations, partial differential equations and other commonly used matlab program.)

利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)