FASTICA

矢量算法，计算声源位置。速度比较快，精度很高。(Vector algorithm to calculate the location of a sound source. Relatively fast speed, high precision.)

matlab下logistic分叉图 (matlab下logistic分叉图)

基于MATLAB的GPS软件接收机捕获与跟踪算法实现(MATLAB-based software GPS receiver acquisition and tracking algorithm)

说话人身份识别程序，采用MFCC参数提取，并建立GMM模型来进行识别(Speaker identification procedures, using MFCC extraction, and the establishment of GMM model to identify)

matlab 源程序，对于编程的同学很用，大家看看吧(Matlab source for programming with the very students, we look at it)

对于球形颗粒物，r为球的半径但非球形颗粒物，r还不确定。 水中由悬浮颗粒物产生的光散射引起光子的传输方向发生变化，光子已偏离了准直方向。但不会改变光子的其他特性随机过程。 (scattering light transmission in water )

针对某个网络流量数据进行分析详细示例，包括实验报告和matlab详细源码程序(For a detailed analysis of network traffic data sample, including lab reports and detailed source program matlab)

steady state short circuit calculation

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

pid控制模型的matlab源程序，极佳的学习资料，适合学习(the material for the pid control study)