ARMA_StmcbProny

有关于MATLAB的在数字信号处理方面的书籍，介绍了MATLAB的基本功能(On the MATLAB signal processing in digital books, introduces the basic functions of MATLAB)

用impz()函数求冲激响应：用filter()函数求冲激响应 用filter()函数求余弦输入响应：用conv()函数求余弦响应：(With impz () Function Impulse Response: The filter () function used for impulse response filter () Function Cosine input response: The conv () Function Cosine response:)

cubic interpolation search method m-file

matlab 金融工程 风险测量 风险分担 程序 股票(matlab matlab)

电机的机械特性图，由matlab计算以及仿真得到(Mechanical characteristics of the motor map, as well as by the matlab simulation has been calculated)

0-1整数规划问题，采用MATLAB编程，约束条件等可以改变，比较实用(0-1 integer programming problem, the use of MATLAB programming, constraint conditions can change, more practical)

说明：  增量式PID的MATLAB实现 有源代码(Incremental PID of the MATLAB source code to achieve)

适当选择辅助变量，使之满足相应条件，参数估计值就可以是无偏一致。估计辅助变量法的计算量与最小二乘法相当，但辨识效果却比最小二乘法好的多。尤其当噪声是有色的，而噪声的模型结构又不好确定时，增广最小二乘法和广义最小二乘法一般都不好直接应用，因为他们需要选用特定的模型结构，而辅助变量法不需要确定噪声的模型结构，因此辅助变量法就显得更为灵活，但辅助变量法不能同时获得噪声模型的参数估计。(Choose appropriate secondary variables, meet the relevant conditions and parameter estimate can be unbiased consistent. Estimated auxiliary variable method calculation and least square method is quite, but the identification effect is much better than the least square method. Especially when the noise is colored, and noise model structure and not sure, augmented the least squares and the generalized least squares method is generally not used directly, because they need to choose specific model structure, and auxiliary variable method does not need to make sure that noise model structure, so the auxiliary variable method is more agile, but not at the same time auxiliary variable method for noise model parameter estimation.)

计算高斯光束束腰半径调节compute guassian beam (compute guassian beam )

采用BP算法进行函数拟合，收敛速度较快。(BP function fitting algorithm, convergence faster.)