stator_current

平台惯导初始对准程序仿真 (platform alignment)

firefly algorithm with chaos in matlab

这是一个用matalb语言实现的FIR滤波器的源代码，直接可以运行，已经经过本人调试通过，对于信号处理的同行有帮助。(this is a matlab program that compute the fir filter and it was been tested by myself.)

是一个matlab包，主要用于关联分析，可以进行简单关联(association rule)

Matlab_Simulink 无人机的控制和建模(Using matlab/simulink to control the unmanable aircraft )

说明：  马尔科夫链蒙特卡洛方法的一个小例子,给了具体的数据和示例(a matlab code for MCMC application)

matlab作图程序总汇，相当的好，包含matlab 源程序与课件(matlab plot summary procedure, rather good, and courseware that contains the source code matlab)

Permanent magnet synchronous motor speed sensorless control method 永磁同步电机的无速度传感器控制策略(Permanent magnet synchronous motor speed sensorless control method)

MATLAB 牛顿下山法的一个小程序，原理就不详细说了。因牛顿迭代法受初值选取的限制，为防止迭代发散，对迭代过程再附加一项要求:|f(x(k+1))|<|f(x(k))|,将牛顿法迭代的结果:x(k+1) =x(k)-f(x(k))/f (x(k))和前一近似值x(k)适当加权平均做为新的改进值:x(k+1)=u*x(k+1) +(1-u)*x(k),其中u(0<> 迭代时u取1开始，逐次减半计算，直至附加要求符合为止。实例计算中x(k)=x(0)不变，只更新u和x(k+1)，直至:|f(x(k+1))|<|f(x(k))|（即|f(x(1))|<|f(x(0))|)，然后更新下山因子为u=1,继续以牛顿法迭代。(MATLAB Newton-down a small program, the principle is not explained in detail. Newton iteration by the initial value of the selected limit, in order to prevent additional iterative divergence, the iterative process a request: | f (x (k+1)) | < | f (x (k)) | Newton iteration Results: x (k+1) ' = X (k)-f (x (k))/f' (x (k)) and a previous approximation x (k), appropriately weighted average as a new improved value: x (k+1 ) = u* x (k+1) ' + (1-u)* x (k), where u (0 < u> iteration take successive calculated at 50 until the additional requirements found so far. examples of calculation of X ( k) = x (0) unchanged profile u and x (k+1, hungry) until: | f (x (k+1)) | < | f (x (k)) | (i.e. | f (x (1)) | < | f (x (0)) |), then profile downhill factor for u = 1, to continue to Newton iteration.)

DOTNET- Finger Print Authentication Using Biometric Systems