xianzai

说明：  计算电力系统最优化，使电力系统运行时达到经济最优(Calculation of power system optimization, so that when the power system to achieve the economic optimum)

建高斯白噪声,.构建了时域上的信号,计算功率谱(Construction Gaussian white noise. Constructed in the time domain signal, calculate the power spectrum)

多变量系统的辨识与控制，三阶的CARMA多变量系统，将工作重点放在系统结构及参数的辨识( 多变量系统的辨识与控制，三阶的CARMA多变量系统，将工作重点放在系统结构及参数的辨识 Multivariable system identification and control, three order CARMA multivariable system, the focus of the system structure and parameter identification)

说明：  C-C法重构相空间文件夹说明1.CC_Method_main.m - 程序主文件 2、LorenzData.dll - 产生Lorenz离散数据 3、normalize_1.m - 信号归一化 4、ccFunction.dll - 计算S(m,N,r,t)(C-C method reconstruction phase space folders note 1.CC_Method_main.m-procedure two main documents, LorenzData.dll- Lorenz have three discrete data, normalize_1.m-In a signal of 4, ccFunction.dll-calculated S (m, N, r, t))

说明：  曲线拟合 matlab 毕业设计常用 (use matlab curve fitting )

设有一个随机信号 服从AR(4)过程，它是一宽带过程，参数如下： 我们通过观测方程 来测量该信号， 是方差为1的高斯白噪声，用LMS算法和RLS算法通过观测方程来估计原信号。并用Matlab对此问题进行仿真。 (There is a random signal obedience AR (4) process, which is a broadband process parameters are as follows: We are measured by observing the signal equation is a Gaussian white noise variance, with the LMS algorithm and RLS algorithm to estimate the observation equation the original signal. This issue with Matlab simulation.)

实现短时傅里叶变换，真的挺好用的，大家可以十四看看呀(TFRSTFT this is a program ,you can try it in you computer)

多层感知神经网络对SI发动机逼近训练,对20000组真实数据进行训练，画出仿真图(trainning net for SI enine)

说明：  基于优化算法的bp神经网络，用于解决分类问题，可以给大家提供两种编程思路，亲测有效。(BP neural network based on optimization algorithm, used to solve classification problems, can provide you with two programming ideas)

拉格朗日插值法。当给出一系列xi以及相应的yi，可以用此法求出一个二元一次方程f，使得f（xi）=yi。(Lagrange interpolation. When given a series of xi and the corresponding yi, a binary one can find the equation of this method f, so f (xi) = yi.)