MPPT_OK

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)

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the file represents very good tutorial using matlab in neural network field

利用matlab对图像所感兴趣的区域进行面积计算并且求解(Use matlab image of the region of interest and area calculations carried out to solve)

High pass and low pass filters with matlab by using bode plot method. Showing very important thing is that bode plot does not give any information about transient response.

MATLAB混合编程技术,COM（Component Object Model，组件对象模型）是以组件为发布单元的对象模型，是一系列面向对象技术和工具的集合。 (MATLAB program technology)

Les méthodes géométriques sont les méthodes les plus répandues en simulation indoor. On a cité les principales familles de ces méthodes. Il s’avère qu’il n’existe pas de meilleures méthodes que d autres. En effet, le choix d’une méthode par rapport à une autre dépend des objectifs principaux qui sont fixés au début du travail. Il est donc fondamental de faire un compromis entre le nombre de rayons à calculer et la complexité de calcul.

说明：  matlab或c++语言，有关最小二乘编程问题(math and matlab)

sift算法的应用实例，对于做图像处理的初学者相当有用。(sift algorithm application example, image processing, for doing very useful for beginners.)

PROJECT 02-02 Reducing the Number of Intensity Levels in an Image (a) Write a computer program capable of reducing the number of intensity levels in a image from 256 to 2, in integer powers of 2. The desired number of intensity levels needs to be a variable input to your program. (b) Download Fig. 2.21(a) from the book web site and duplicate the results shown in Fig. 2.21 of the book. Laboratory Projects_DIP3E 的02-02項目(PROJECT 02-02 Reducing the Number of Intensity Levels in an Image (a) Write a computer program capable of reducing the number of intensity levels in a image from 256 to 2, in integer powers of 2. The desired number of intensity levels needs to be a variable input to your program. (b) Download Fig. 2.21(a) from the book web site and duplicate the results shown in Fig. 2.21 of the book.)