fasheji

the laser rate equation pdf that a m file is accounted it.i hope it help u.

把矩阵的数据写入文档中的几种方法，有显示，有代码说明(into the file)

模型预测源文件，可以预测相关的模型，含有清晰的注释。(Model can predict the source file, predict related model, contains clear comments.)

DOA estimation with MUSIC algorithm array signal processing

对七号信令MAP协议进行非常细致的讲解，大家有需要的可以下载参考(MAP signaling protocol on the 7th a very detailed explanation, you need to download the reference)

simulation of voice signal Equalizer

使用matlab编写的源代码，用于图像图像的增强处理(matlab source code for image image processing and signal processing)

此模型为光伏单相发电matlab模型，MPPT算法为扰动观察法(This model is the MATLAB model of single phase photovoltaic power generation, and the MPPT algorithm is a disturbance observation method. )

评价算法。神经网络一个很好的应用。。。。。大家可以看看！(Evaluation algorithm. Neural network a very good application. . . . . Everyone can see!)

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)