R

Get the PSD with the covarianze method.

说明：  该进的小波去噪在图像处理中的应用 效果很明显(Wavelet Denoising of the advanced applications in image processing effect is obvious)

NOAA网站AVHRR卫星数据绘图（SST）。数据选用原因:它本身是已经被处理过的27年（1982-2008）全球月平均数据，而且数据精度非常高，对于研究全球SST的气候态特征有较好的说服性；另外，选择2月与8月的数据，对描述海洋水温的平面分布更具有代表性。 (NOAA AVHRR satellite data mapping site (SST). Data Selection reasons: it is itself already been treated for 27 years (1982-2008) global average monthly data, and the data accuracy is very high, for the study of global climate SST state characteristics have better persuasive addition, February with the data in August, and the description of ocean water temperature plane distribution more representative.)

这是简易的FSK信号调制，把文件放入matlab的文件库中，通过在matlab的命令窗口直接调用功能函数并运行，可以直接看到仿真结果。(This is a simple FSK signal modulation, the file into Matlab file library, call function directly in the Matlab command window and run the simulation results can be seen directly.)

MATPOWER 是一个基于matlab m 文件的组建包，用来解决电力潮流和优化潮流的问 题。它致力于为研究人员和教育从业者提供一种易于使用和可更新的仿真工具。Matpower 的设计理念是用尽可能简单、易懂，可更新的代码来实现最优秀的功能(Matpower is a package of Matlab M-les for solving power ow and optimal power ow problems. It is intended as a simulation tool for researchers and educators that is easy to use and modify. Matpower is designed to give the best performance possible while keeping the code simple to understand and modify.)

OutputText.rar例子，关于txt输出，注释的特别详细(OutputText，special for txt)

说明：   基于matlab 的叠加高斯白噪声的正弦信号频谱分析，给定正弦函数x=sin(2πf0n/N+π/3)+sin(2πf1n/N+π/4)，设定f0.f1的值，加了噪声之后做快速傅里叶变换，在matlab中分析其频谱，验证是否与f0,f1的值符合。再变换N值，看随着N值的变化对应点是否符合及有何变化。(Matlab based on the superposition of Gaussian white noise sinusoidal signal spectrum analysis, given the sine function x = sin (2蟺f0n/N+蟺/3)+sin (2蟺f1n/N+蟺/4) set value of f0.f1, do a quick noise Fourier transform to analyze the spectrum in matlab, verify that with f0, in line with the value of F1. Transform the value of N, see change as the value of N corresponding points of compliance and what changes.)

基于多模型的飞机舵面故障诊断与主动容错控制 (Multi Model Based Actuator Fault Diagnosis and Active Fault Tolerant Control for Flight Control Systems )

非线性方程组迭代法的matlab实现详细介绍 (Iterative method of nonlinear equations matlab implementation details)

In this paper the reduction of Intersymbol Interference (1 ) in mobile communication channels is addressed. A well known technique for IS1 reduction is adaptive equalization in which the time-varying characteristics of the mobile channel is tracked by an adaptive algorithm. We compare different adaptive strategies and equalizer structures with respect to overall system performance in terms of computational complexity, numerical stability, finite wordlength effects, size and power consumption required for VLSI implementation.