beam-bending-deformation

在自适应控制中，用Matlab算法实现广义最小方差自校正控制（直接算法）(In adaptive control, using Matlab algorithm generalized minimum variance self-tuning control (direct algorithm))

Matlab编写的基于元胞自动机的生命游戏以及兰顿蚂蚁~~~小程序~~分享出来(cellular automata, game of life, langtonant ant)

说明：  使用个股日内髙频收益率计算己实现值进行分析,同时计算得到二阶矩 和高阶矩值并进行对比。本文根据己实现量的大小将所有样本股分为己实现值由 小到大的姐别,分别跟踪各股票组合的收益,探索预期收益与个股己实现值之间 的变化关系,然后将分组的结果应用于多空策略,为提高资产配置收益提供参考。 同时,将各己实现变量和各类对预期收益产生影响的控制变量放在一起构建 Fama-MacBeth截面回归,分析高频已实现量是否具有定价能力。(The realized value is calculated by using the daily gust rate of return of individual stocks, and the second-order moments are obtained by calculating at the same time. Comparisons are made with higher order moment values. This paper divides all sample stocks into realized values according to the size of realized stocks. Sisters from small to large track the earnings of each stock portfolio, and explore the relationship between expected earnings and the realized value of each stock. Then the grouping results are applied to the multi-empty strategy to provide reference for improving asset allocation returns.)

CODING THE HAAR WAVELET TRANSFORM....

book for matlab for engeniers in antena modulation..

The Gauss-Seidel technique is intuitive and easy to use on large or small problems. However, you should beware that the convergence tolerance must be carefully selected. Because the convergence criterion is based on the error between iterations, the same convergence criteria may lead to very different results. The direct solution technique presented in Section 2.6.2 is generally preferred over an iterative technique like Gauss-Seidel iteration if a tool such as MATLAB that provides a computationally efficient means of solving sparse matrices is available.

分析了支持向量回归机在能源需求预测中的优势,确定了输入向量集合和输出向量集合,建立了基于Matlab技术的SVR能源需求预测模型.对我国1985-2008年能源需求相关数据进行模拟与仿真,并对中国2010年和2020年能源需求量进行预测.研究结果表明:一是中国未来对能源的需求量逐渐增加,从2010年的330400万吨标准煤上升到2020年418320万吨标准煤,年均增长率为2.39％；二是在解决我国能源系统小样本.非线性及高维模式识别问题中SVR比BP神经网络等方法有更高的预测精度.(Support vector regression analyzes advantage in energy demand forecast to determine the set of input vectors and output vector set, established SVR energy demand forecasting model based on Matlab technology. Energy demand for our 1985-2008 related data modeling and simulation , and China in 2010 and 2020 energy demand forecast results show that: First, China s increasing demand for energy in the future, from 3.304 billion tons of standard coal in 2010 rose to 4.1832 billion tons of standard coal in 2020, average annual growth rate of 2.39 second is to solve our energy system small sample nonlinear and high dimensional pattern recognition problem SVR higher prediction accuracy than the BP neural network method.)

matlab程序安装、使用的基础知识，对MATLAB的初学者有一定帮助。(matlab installation, the use of basic knowledge of the MATLAB beginner to some extent help.)

说明：  关于matlab和RS方面的文献，对于做遥感应用很有益，比较好。(Matlab and RS on the literature, for remote sensing applications is very useful to do, better.)

反子波的求法。对地震数据处理中，由反子波与地震道集反褶积可得到地层反射系数(How to get the wavelet.)