matlab-examples3

牛顿迭代算法，可以解决非线性优化问题，但是求出的是局部最优解，应用时应该注意(Newton iterative algorithm to solve nonlinear optimization problems, but find the local optimal solution, the application should be noted)

Combo history box GUI class

本算法程序基于实测汽轮机振动信号进行了测试及性能分析。理论分析及仿真结果表明，AR模型谱估计算法在阶次合适的情况下，能够取得较好的方差及分辨力性能，适合于振动信号的功率谱估计，且AIC准则为确定合理的模型阶次提供了有效依据。(This algorithm based on the measured turbine vibration signal testing and performance analysis. Theoretical analysis and simulation results show that, AR model spectrum estimation algorithm in appropriate circumstances the order, the variance can achieve better performance and resolution, suitable for vibration signal power spectrum estimation, and the AIC criterion to determine a reasonable model order provides an effective basis.)

说明：  PSO scripts collection for matlab

环境下构建一种新的系统辨识仿真工具箱(SIST: System Identification Toolbox)的原理与实现,讨论了在MATLAB 环境下工具箱的数据和算法结构形式,以及利用GUIDE完成图行界面的设计,用MATLAB 与C++混编技术实现物理系统的I/O 接口和系统辨识... (err)

定义了一个函数用来计算两个序列的互相关值，根据给定的两个序列计算其互相关值并以图形方式输出结果。(Defines a function used to calculate the cross-correlation of two sequences of values, according to a given sequence of two to calculate the value of inter-related and graphical output.)

说明：  一种快速有效、性能可靠的信号重构算法是压缩感知理论的核心部分，对于 这部分内容，许多卓有成效的研究工作正在陆续展开。从压缩感知理论提出至今， 已经出现了多种稀疏信号的重构算法。重构算法主要可以归结为三大类：贪婪算 法，凸松弛算法和组合算法。这里主要是SP算法(A fast and efficient, reliable signal reconstruction algorithm is the core of compressed sensing theory, for this part, much fruitful research work is carried out successively. From the compressed sensing theory so far, there have been many sparse signal reconstruction algorithm. Reconstruction algorithm can be summarized into three main categories: the greedy algorithm, convex relaxation algorithms and combinatorial algorithms. This algorithm is mainly SP)

说明：  可以很好的结合现有的信号数据进行分析和处理，得到一定优化效果(Can be a good combination of existing data analysis and signal processing, to a certain optimal results)

it is the code of the whole functions of multiobjective algorithms of the modeling

实现数值分析中单纯形法改进方法的matlab代码，即改进单纯形法算法，能够实现大型稀疏矩阵的迭代，这是3/3..(Numerical analysis to achieve improved method simplex method matlab code that modified simplex method algorithm, to achieve large sparse matrix iteration, which is 3/3)