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baizaosheng
- 在matlab中产生N(0,1)分布的白噪声-produced in Matlab N (0,1) and the white noise! !
baizaosheng
- 该程序可以人为地产生一个白噪声，并可以调整参数。
baizaosheng
- 在matlab中产生N(0,1)分布的白噪声-produced in Matlab N (0,1) and the white noise! !
baizaosheng
- 该程序可以人为地产生一个白噪声，并可以调整参数。-The procedure can artificially generate a white noise, and can adjust the parameters.
baizaosheng
- 白噪声序列的VC编程 辨识用的很好的程序-White noise sequence programming VC identification procedures used in very good
baizaosheng
- 可以产生白噪声，体现了随机现象，欢迎大家使用，-Can generate white noise, reflecting a random phenomenon, welcome to use,
baizaosheng
- 利用积分再现白噪声，可以很方便利用它进行简单的仿真分析-Using integral representation of white noise, can easily use it to carry out a simple simulation analysis
baizaosheng
- 一个matlabGUI程序，可以读取mat文件，并且对其中的信号叠加指定载波比的白噪声，并且绘图比较分析-A matlabGUI procedures, which can be read by mat paper, and one of the designated carrier signal superimposed over the white noise, and a comparative analysis of graph
baizaosheng
- 本程序能实现基于小波模极大值算法去除高斯白噪声。效果显著-This procedure can achieve based on wavelet modulus maxima method to remove Gaussian white noise. Remarkably
baizaosheng
- 基于白噪声法路面不平度仿真程序，可以仿真得到路面不平度的时域激励。-Method based on white noise process simulation of road roughness, road roughness can be simulated by time-domain excitation.
baizaosheng
- 按如下模型产生一组随机序列： x(n)=0.8x(n-1)+w(n) 其中w(n)为均值为1，方差为4 的正态分布白噪声序列。估计过程的自相关函数与功率谱。
baizaosheng
- 关于白噪声的仿真程序，有功率谱及fft的变换等，很有用-About the white noise simulation program, a power spectrum and FFT transformation and so on, is very useful
baizaosheng
- 此程序可以产生白噪声序列，作为系统辨识的常用的输入信号-This program can generate white noise sequence, commonly used as a system identification input signal
baizaosheng
- 高斯白噪声通过两个不同的低通滤波器，仿真频和自相关函数-Gauss white noise by two different low-pass filter, simulation of frequency and the autocorrelation function
baizaosheng
- 主要介绍了基于BOX_MULLER算法产生的白噪声，并对舰船辐射噪声进行了仿真-The white noise generated by BOX_MULLER algorithm is introduced, and the radiated noise of naval vessel is simulated.
baizaosheng
- 高斯白噪声产生，计算均值方差，自相关函数，统计结果直方图，概率密度图-Gaussian white noise, calculate the mean variance, autocorrelation function, histogram statistics, probability density maps