2010-08-26

说明：  计算一端固定另一端自由梁结构的固有模态，有限元单元选择的为二自由度埃尔米特单元(calculation natural frequences of the beam structure)

基带非线性器，最常用的基带非线性器是幂级数模型和限幅器模型，这里给出的是幂级数模型的。(Baseband nonlinear device, the most common is the baseband power series model and the nonlinear limiter model, where the model is given a power series.)

针对一维非线性非平稳信号降噪的一种算法，EMD算法，这是其MATLAB代码。(An algorithm for one-dimensional nonlinear and non-stationary signal noise reduction, EMD algorithm, which is its MATLAB code.)

说明：  莱斯利人口预测模型 莱斯利矩阵为91阶方针表示从0岁到90岁各个年龄段的生育率和存活率集合(leslie )

说明：  快速傅里叶变换FFT通用matlab源程序,众所周知，matlab工具箱里的fft函数是内置的，我们无法看到其源代码，为了学习交流方便，特帖出本人以前用matlab语言写的fft通用matlab源程序，以供初学者学习参考之用！(FFT fast Fourier transform common Matlab source, as we all know, the Matlab toolbox fft function is built-in, we can not see the source code, in order to facilitate the exchange of learning and special TIE out I used to write using the Matlab language fft common source Matlab, for beginners to learn reference only !)

画流速和温盐的Matlab程序，用于FVCOM结果的处理(Draw flow rate and temperature and salinity of the Matlab program for FVCOM result processing)

hey i am uploading this code for modulation in matlab...check this out

说明：  Voltage distribution in a triangle

这是一个用实时递归学习算法来训练递归神经网络的matlab文件(It is a Matlab file for initializing and training a recurrent neural network using Williams and Zipser s Real-Time Recurrent Learning algorithm.)

传统的宽带信号中抑制正弦干扰的方法是采用陷波器(notch filter),为此需要精确知道干扰正弦的频率.然而当干扰正弦频率是缓慢变化时,且选频率特性要求十分尖锐时,则最好采用自适应噪声抵消的方法.下图是用一个二阶FIR的LMS自适应滤波器消除正弦干扰的一个方案。该代码实现了以下功能： 1) 借助MATLAB画出了滤波器的误差性能曲面和误差性能曲面的等值曲线； 2） 给出了最陡下降法以及LMS算法的计算公式； 3） 用MATLAB产生了方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形； 4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出了采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线； 5）用MATLAB计算并画出了LMS法时误差随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形； 6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线； 7）最终对结果进行了分析，具体见压缩包的word文档。 (Wideband signal in the conventional sinusoidal interference suppression method is the use notch filter (notch filter), this requires precise knowledge of the frequency of a sinusoidal interference . However, when the interference frequency sinusoidal changes slowly , and the selected frequency characteristic requirements are very sharp , then best use of adaptive noise cancellation method . following figure is a second-order FIR LMS adaptive filter to eliminate a program sinusoidal interference . The code implements the following functions:   A ) draw with MATLAB error performance of the filter surface and the surface contour error performance curve 2 ) gives the steepest descent method and the LMS algorithm formula 3 ) generated using MATLAB variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform 4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour pl)