apodized-FBG

Another source code to simulate LMS adaptation algorithm using Matlab.

Scale Invariant Feature Transform (SIFT) has shown to be very powerful for general object detection/recognition. And recently, it has been applied in face recognition. This is the matlab code.

人脸定位代码，短小但精度和速度都很高，matlab版本不能太低(Face location code, a short but very high accuracy and speed,)

说明：  matlab 数组与向量教程 简单明了 清华出的书 数组与向量教程 简单明了 清华出的书(matlab ppt that s for the new learners.It s obiously easy to learn which produced by tising university.)

ICA(独立成分分解),可实现采集信号中源信号的分离，便于提取特征量，实现模式识别。同时由于可以将源信号分离开来，可实现信号的降噪，去掉基波、三次谐波、五次谐波等(ICA (independent component decomposition) can realize the separation of the source signals in the acquisition signal, and facilitate the extraction of the feature quantity, and realize the pattern recognition. At the same time, because the source signal can be separated, it can realize the noise reduction of signal, remove the fundamental wave, the three harmonic, the five harmonic, etc.)

粒子滤波的经典例程，MATLAB环境。好好理解其思想，对于其它环境下粒子滤波程序的编写也是很有好处的！(paticle filter!quite classical codes!)

很实用的移动通信多径干扰信道JAKE模型建模程序 (Practical mobile communication channel multipath interference modeling procedures JAKE)

说明：  有源滤波器检测算法的MATLAB程序，应用DQ0 算法，电流源加的是5 次谐波(active filter detection algorithm in MATLAB, application DQ0 algorithm increases the current source is the 5th harmonic)

说明：  包含很多matlab实用程序，设计各个方面的应用。(Matlab contains a lot of utility, design all aspects of the application.)

Incremental Conductance: In the incremental conductance algorithm, we find the derivative of PV output power with respect to output voltage. The dP/dV is evaluated and the algorithm keeps checking this value and changes the duty cycle such that dP/dV=- I/V = 0. This is the point at which maximum power is transferred. If dP/dV is greater than zero, it means the PV is operating to the left of the MPP. If dP/dV is less than zero, it means the PV is operating to the right of the MPP. This method holds an advantage over the perturb and observe method since it is fast and does not oscillate around MPP. However, the method could experience instability due the involvement of the derivative.