windfarm_equ_fault

数值分析中经典的arnoldi算法，用来求解大型矩阵方程组的求解(numerical analysis classic arnoldi algorithm used to solve large matrix equations Solution)

多态概率元胞自动机森林火灾模型及应用,是用MATLAB的元胞自动机实现在森林中的应用(Polymorphic forest fire probability cellular automata model and application of MATLAB is the application of cellular automata to achieve in the forest)

MATLABitis MATLAB7.0.good(itis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.good)

蚂蚁算法在路由中的应用,提升网络路由选择性能，运行环境matlab。(ant applicationg)

遗传算法的标准MATLAB程序，共有12个子m文件(Standard genetic algorithm MATLAB program, a total of 12 sub-m file)

这是一个关于二维的FDTD的源代码，主要模仿电磁波传播的传播，对于做天线，雷达的朋友有帮助(This is one of the two dimensional FDTD source code, mainly to imitate the propagation of electromagnetic wave propagation, for antenna, radar has to help a friend)

OFDM程序 DCO-OFDM保证好用OFDM程序 DCO-OFDM保证好用OFDM程序 DCO-OFDM保证好用(DCO-OFDM OFDM program to ensure easy program DCO-OFDM OFDM OFDM program to ensure easy DCO-OFDM ensure easy)

一种SSB调制与解调的MATLAB实现,其中用到了Hilbert变换(A method of SSB modulatie and demodulate using Matlab)

适合初学者的matlab数值教程，简单介绍了matlab中数值的表示方法(Numerical matlab tutorial for beginners, a brief numerical representation in matlab)

功率谱估计是利用有限长的数据估计信号的功率谱，广泛应用于各个领域。功率谱估计主要分为经典谱估计与现代谱估计。常用的经典谱估计方法有周期图法，相关法，周期图的改进法，常用的现代谱估计方法有最大熵谱估计，AR模型，MA模型，ARMA模型。经典谱估计适用于长序列的信号，其主要缺陷是描述功率谱波动的数字特征方差性能差，频率分辨率低，现代谱估计适用于短序列的信号，旨在改善谱估计的分辨率，并将其应用于实际地震资料的谱分析。 (Power spectrum estimation is the use of a finite length data to estimate the power spectrum of the signal, widely used in various fields. Power spectrum estimation is divided into classic and modern spectral estimation spectral estimation. Commonly used methods of classical periodogram spectrum estimation method, the relevant law, the cycle graph Improvement Act, commonly used in modern spectral estimation methods have maximum entropy spectral estimation, AR model, MA model, ARMA model. Classical spectral estimation applied to signal a long sequence, its main drawback is the fluctuation power spectrum describing digital signature variance performance is poor, the frequency resolution is low, modern spectral estimation applied to signal short sequences designed to improve spectral estimation resolution, and The analysis applied to real seismic data spectrum.)