doa

itis a method for sensor fusion in which we use previous data to modify the present data to get better outputs

基于D-J阈值的加性白噪声方差估计,两种算法的比较(D-J，noise,evaluation)

MamLand 用 construct Mamdani fuzzy 干预系统法来评估滑坡持续过程。 (MamLand is designed specifically to construct Mamdani fuzzy inference system for the Landslide Susceptibility Assessment. )

可读取采集卡上WMD格式数据文件，分析行波故障信号的故障点及波头位置。(Can read acquisition card format data files on WMD, analyzes the traveling wave fault signal fault point and wave head position. )

应用牛顿拉夫逊发计算简单的潮流，实现基本的潮流运算(Application of Newton Raphson made a simple calculation of the trend, the trend for basic computing )

这是用于通信系统中MIMO干扰对齐的算法，此算法通过对齐多小区干扰，提高通信系统的性能。(This is used in the MIMO communication system of interference alignment algorithm that by aligning the multi-cell interference and improve performance of the communication system.)

Orderbased crossover takes two parents P1,P2 and performs order based crossover by Davis.

分数阶傅里叶变换程序，读取数据文件实现分数阶傅里叶变换，有图形显示。(Fractional Fourier transform procedure, read data files fractional Fourier transform, graphical display.)

PMSM电机的MTPA基本弱磁控制仿真，需要自己设置电机参数、模块中的部分参数也要设置才能进行仿真。(MTPA fundamental weakening control PMSM motor simulation, you need to set the motor parameters themselves, the module also set some parameters can be simulated.)

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.