mulNumYT-mulRank1

matlab教程，详细介绍Matlab的基础、入门及使用指南。()

8psk、16QAM等的译码程序，可以在多种环境下仿真(8psk 16QAM decoding program, you can simulate a variety of environments)

多种多任务学习算法的工具箱 有代码有使用手册 matlab版(the toolbox of multi-task learning algorithms (matlab version))

基于双目视觉的三维立体成像研究，对物体三维恢复的论文报告(Binocular vision-based three-dimensional imaging of objects three-dimensional paper recovery report)

遗传算法程序matlab源程序，txt文件内打开就是(Genetic algorithm matlab source, open txt file is)

image quality measurement

TDOA定位以及改进方法,有基础的算法，以及一些改进后的方法(TDOA location)

复杂网络SIR模型传播动力学的实现，生成一个传染源，在一个无标度网络传播演化过程，运行成功。（有注释）(Dynamics of complex network based on SIR model. Set a source of infection in a scale-free network. The simulation runs successfully. )

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.)

多维变量的寻优算法，遗传算法解决多变量的最优化问题。(multivariable GA)