noiseest_matlab

ica 的基础性文献， 对理解ica原理 及发展很有参考价值。(ica of the basic literature, theory and development in understanding ica useful reference.)

for calculating circle sector

通过正交点的寻找从而用几何最小二乘拟合椭圆的方法(Finding points to the orthogonal least squares fitting using the geometric method of elliptic)

吉布斯定轨法。 输入：轨道上任意三个点的位矢(R1,R2,R3)； 输出：质点在R2端点时的速度V2；ierr是个判断符号，返回的ierr是零的话，就说明‘R1,R2,R3’共面，如果ierr是1的话说明‘R1,R2,R3’不共面(正常情 况下，要构成轨道的话，‘R1,R2,R3’一定共面 ，即ierr是零，如果ierr是1的话说明输入的‘R1,R2,R3’不共面不能构成轨道。 此函数用于：任意给定三个空间共面的向量，可以确定质点在R2处的速度V2，也就得到了轨道上的一个状态向量(R2,V2),调用前面的函数就可以确定其轨道，及任意时刻的状态。(Gibbs set the track method. Input: track any three points of the bit vector (R1, R2, R3) output: particle at R2 endpoint speed V2, ierr is a judgment symbol, The ierr that is returned is zero, then, it means' of R1, R2,, R3, ' coplanar, if ierr is 1, then description' of R1, R2,, R3, ' not a total surface (under normal circumstances, you want to constitute a track, then,' of R1, R2, R3, ' a certain total surface, ierr is zero, if ierr is an instructions to enter the words ' of R1, R2, R3' coplanarity can not constitute a track. This function is used: for any given three space vector of the surface, can determine the particle at the speed V2, R2 also track a state vector (R2, V2), call the previous function can determine its orbit, and at any time of the state.)

一个简单的例程，对仿真信号使用RLS算法进行自适应滤波(A simple routine of simulated signals using RLS adaptive filtering algorithms)

Image segmentation and rcognition using FCM and ANN

以幻灯片的形式讲解matlab应用.其中包含了例题所含的原程序.(The form of a slide on the matlab application. Which contains sample questions contained in the original procedure.)

用MATLAB编写的绘制稳定运动模型的代码程序，以及前面程序相关的一篇论文。请多指教。(Drawing prepared by using MATLAB stable motion model code procedures, as well as in front of a paper related to the proceedings. Please advice.)

[FFT]_matlab中关于FFT的使用(理解频率分辨率、补零问题).( [FFT ] _ matlab on the FFT use (understanding the frequency resolution, zero problem ). )

简要介绍了怎么使用matlab求解最大值最小值问题，比较适合新手初学使用(A brief introduction to how to use matlab for solving the maximum-minimum problems, and more suitable for the novice beginner)