MATLAB-Parallel-Computing-Toolkit

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)

灰色预测GM（1，1）模型的matlab源代码，包括预测模型的建立(Gray prediction GM (1,1) model matlab source code, including the prediction model)

规划与lingo入门教程，这些资料可以对读者有一定的帮助。请读者不要乱。(Planning and lingo introductory tutorial, these data will certainly help the reader. Readers are cautioned not chaos.)

采用解调分析方法，从信号中提取调制信息，分析其强度和频次就可以判断研究对象（诸如机械零件）损伤的程度和部位。(Using the demodulation method, the modulation information is extracted from the signal, the strength and frequency analysis can determine the study (such as mechanical parts) and location of the degree of damage.)

进行多项式拟合曲线和参数，给出数据和m文件(Polynomial curve fitting and parameters, given the data and m files)

机械优化设计主要包括建立优化设计问题的数学模型和选择合适的优化方法及程序两方面的内容.基于二次插值法的基本原理,通过实例,编写MATLAB程序进行求解,计算结果说明了二次插值法是一种求解一元函数极小点问题最优解的可行高效的方法.(Mechanical optimization design includes a mathematical model to optimize the design of the problem and choose the appropriate two aspects of optimization methods and procedures based on the basic principles of quadratic interpolation method, is solved by way of example, the preparation of MATLAB, the results illustrate the quadratic interpolation method is a function of one yuan to solve the problem of the optimal solution of the minimum point efficient way possible.)

说明：  matlab应用越来越广泛。但如何与VC 结合来提高编程效率呢，本文提供的资料可以帮大家。(matlab application is more and more widespread. How but unifies with VC enhances the programming efficiency, this article provides the material may help everybody. )

MATLAB/Simulink Device Blocksets for dsPIC® DSCs

matlab image reading

说明：   在matlab中通过接口用c语言程序实现求和程序(In matlab interface used by c language program summation process)