TRUSS2D

本书为王永良的《空时自适应信号处理》，供有关人员下载(Wang Yongliang book for the )

mamdani based optimization technique

单径或多径瑞利衰落信道仿真，ldpc码的编解码实现，基于人工神经网络的常用数字信号调制。( Single path or multipath Rayleigh fading channel simulation, Codec ldpc code implementation The commonly used digital signal modulation based on artificial neural network.)

计算标准大气特性的matlab代码，基于美国1976年的测试数据(source code in matlab for computing atmospheric characterics, based on the Data obtained in 1976 )

两个遗传算法的实现程序，用MATLAB编写。实现效果良好。(This software is a implementation of genetic algorithm, which is written by MATLAB.Using this software, we can have a good result.)

机械故障诊断方法概述 信号处理方法概述 齿轮箱故障诊断(Mechanical fault diagnosis method outlined signal processing method outlined gearbox fault diagnosis)

解决离散傅里叶变换的能量泄露问题，使得傅里叶变换的结果更加的准确。(Solving the Energy Leakage Problem of Discrete Fourier Transform)

自适应局部二值模式完整代码,对于需要局部二值模式的学者很有用。(Adaptive LBP code)

when SNR is high , 1st sample estimator provides good estimate of A. it has no noise effect . so we don’t need averaging effect to reduce noise when SNR is high. However variance is still low in sample mean estimator which shows that in reality ,sample mean is good estimator than 1st sample estimator. So, for high SNR, we do not need to reduce the effect of noise by averaging. or we can say that for high SNR let say >1000 , 1st sample estimator got reduced noise. But as for as variance is concerned , the sample mean has low variance for high SNR as well.

Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed that the ARMASA toolbox is presen