EVB_max

说明：  GA遗传算法的入门教程 很是适合初学者,是不错的教材 有源程序(GA genetic algorithm was very introductory tutorial for beginners, is a good source of teaching materials are)

convolution, capture, envolvente EMG, pulse PWM and trasformation code in matlab compared matlab own

Matlab Code for Time delay Beamformer

对带磁滞环的驱动器进行建模，可用于模型估计(Prandtl-Ishlinskii hysteresis model for hystersis in actuator)

dereverberator code for matlab using voiced-unvoiced classification of speech signals

第二代curvelet变换工具箱，有快速傅里叶变换和wraping变换方法，还可以提取变换系数。有matlab版本和c++版本(The second generation of curvelet transform toolbox, with fast Fourier transform and wraping transform method, also can extract transform coefficient.With the matlab version and c++ version)

A.2 Open Image Files This function looks for x-ray images (.tif) in directory ‘dname’ and creates a movie of I(q) versus q and saves the corresponding 3D matrix. ‘TempA’ and ‘TempB’ are the slope and y-intercept of the ramp temperature profile, respectively. Variables ‘timeA’ and ‘timeB’ are the slope and y-intercept of the time dependence on the frame number. ‘IC1A’ and ‘IC1B’ are the slope and y-intercept of the IC1 value (prior to sample) dependence on the frame number. It load background matrices ‘B’ which should be double-format and corrected for IC1 and any difference for acquisition time. This function calls radialintegrationBNL A.4 Lorentz Correction This function creates and saves the Lorentz-corrected intensity matrix calculated the intensity matrix created in A.2. It also saves each frame as a separate ascii file for crystallinity uation in Origin or other software.

对matlab做了简介。通过一个魔方矩阵介绍了matlab矩阵的编程与算法；介绍了m文件的创建及简单作图。适合入门。(Introduction of matlab. Matrix introduced through a cube of programming and algorithm matlab matrix introduced m file creation and simple graphics. For entry.)

说明：  根据moutaintop空时自适应数据编写的最优STAP方法(According to data prepared moutaintop space-time adaptive optimal space-time adaptive processing)

ICA算法的一个例子，适于初学者。其中采用实际的数据进行盲分离。(ICA an example of the algorithm, suitable for beginners. The actual use of these data for blind separation.)