contrast

matlab下实现的DDS发生器，可观察其发生信号的波形，频谱。 运行前请先输入 global theta theta=0 (matlab implementation of the DDS generator, may happen to observe the signal waveform, spectrum. Please enter a pre-operational global theta theta = 0 )

一些matlab的简单程序，对于初学者很有帮助的，好好看看 (Matlab some simple procedures, useful for beginners, a good look at)

here is fantastic iso clustering code which i test it frequently and find it satisfactory. it does k maen clustering in two dimensional data.

该程序是结合john 的smo伪码，和网上其他程序写的。 特别是john 的smo伪码没写出来的部分，有点搞不懂，那一部分的a1old和a2old好像有点混乱。程序大部分能运行出来，有时很久没出来。(MATLAB SMO)

编写了利用MATLAB计算任意桁架的静力分析，得到各杆的应力和各结点的位移，并画出变形前后的桁架图(The static analysis of arbitrary truss is made by using MATLAB, the stress of each rod and the displacement of each node are obtained, and the truss diagram before and after deformation is drawn)

添加高斯白噪声子程序 内容虽然很简单，但是很有用哦(Add white Gaussian noise subroutine)

time-invariant degradation models and stationary signals and noise, the classical Fourier domain Wiener filter, which can be implemented in O(N logN) time, gives the minimum mean-square-error estimate of the original undistorted signal. For time-varying degradations and nonstationary processes, however, the optimal linear estimate requires O(N2) time for implementation. We consider filtering in fractional Fourier domains, which enables significant reduction of the error compared with ordinary Fourier domain filtering for certain types of degradation and noise (especially of chirped nature), while requiring only O(N logN) implementation time. Thus, improved performance is achieved at no additional cost. Expressions for the optimal filter functions in fractional domains are derived, and several illustrative examples are given in which significant reduction of the error (by a factor of 50) is obtained.

本文就一些有趣的规则，考虑如何编写有效的MATLAB的程序来实现这些元胞自动机。(This paper some interesting rules, consider how to write effective MATLAB program to achieve these cellular automata.)

multi-scale egde detection with matlab

说明：  matlab代码，轴承特征提取，包括rms、最大幅值、峰值因子、绝对平均值、平均值、峭度、脉冲因子、裕度因子、能量，小波包、经典模态分解等特征(Matlab code, bearing feature extraction, including rms, maximum amplitude, crest factor, absolute mean, mean, kurtosis, pulse factor, margin factor, energy, etc)