BEM_FOR_MATLAB

EMD matlab程序，附测试数据，通过对高频信号的分解和趋势分析，可实现对数据分析和预测功能。(EMD matlab code)

基于均匀圆阵的并在载体方位上LCMV算法仿真(Based on uniform circular array and the carrier bearing on LCMV algorithm simulation)

地震资料 数据处理 分频去噪 模块 主要压制随机噪音 异常振幅 野值 大值 方法特点：1 针对性强，主要去除随机噪音；2 随机噪音识别能力强，达到了较高的去噪水平；3 具有自适应性，能根据不同位置的不同特点统计识别噪音；4 振幅保真，对有效信号的保护性好；5 操作者可根据经验选择参数组合灵活去噪，达到较好的结果。 应用对比：为了展示本模块的去噪效果，所选取的对比对象是某知名成熟商业软件的分频去噪模块，其去噪效果在当前诸多成熟软件模块中是佼佼者，在地震资料处理界具有很好的口碑。 通过对比，说明本模块：1 针对性强，主要去除随机噪音和异常振幅等。2 随机噪音识别能力强，达到了较高的去噪水平。3 具有自适应性，能根据不同位置的不同特点统计识别噪音。4 振幅保真，对有效信号的保护性好。5 操作者可根据经验选择参数组合灵活去噪，达到较好的结果。(Frequency-dependent noise attenuation seismic data, processing module, is mainly to suppress random noise, denoising abnormal/large amplitude values Method of characteristics: 1 targeted, mainly to remove random noise 2 random noise and strong ability to identify , reach a higher level of de-noising 3 is adaptive , able to identify the noise statistics according to the different characteristics of different positions 4 amplitude fidelity , the effective protection of the signal is good 5 denoising operator flexibility to select the combination of parameters according to the experience , to achieve better results . Application contrast: To demonstrate the effect of the de-noising module , the selected object is a well-known comparative commercial software divide mature noising module de-noising effect is the current leader in many mature software module in seismic data processing industry has a good reputation. By contrast, the description of the module : a targeted, mai)

一些特性在OPNET中不能准确描述，若OPNET与matlab联调，则能利用二者的优点使仿真更精确(the code combined OPNET with Matlab)

目标因子分析，用于找寻主因子数的个数，清晰明了的看出其步骤(Target factor analysis, to find the main number for the number of factors, see the steps clarity)

能够屏蔽文件中一些禁用语，能够设置某些语言(Be able to document some of mask to disable language, be able to set some languages)

一个实现Adaboost训练和分类的matlab程序，带数据(Adaboost training and classification procedures, with data)

用数值方法实现2FSK信号的相关型解调。采用的两个2FSK波形信号为：si(t)=cos(2πfit)，i=1,2,0≤t≤Tb。这里f1=1000/Tb, f2=f1+1/Tb。(Digital modulation.)

将PCNN（脉冲耦合神经网络）用于图像融合，以红外光强与偏振图像的融合作为例子。(PCNN (pulse coupled neural network) is applied to image fusion, taking the fusion of infrared and polarization images as an example.)

支持向量机的学习，简单但实用，推荐给各位哦(Studying supporting vector machine, is simple but pragmatic, recommendation is softly chanted by everybody)