PSOyouhua

水平集 灰度图像的水平集方法 灰度图像的水平集方法(AMLE_level_set_interp)

说明：  生成128条黑白颜色的结构光条纹，其中黑条纹的宽度是白条纹宽度的三倍。(Generate 128 black and white color structured light stripes, black stripes of the width of which is three times the width of the white stripe.)

自己编的闻邦椿书上的Riccati求转子临界转速，转子为单跨双转盘。有去除奇点，提取振型，收敛迭代为弦截法。有各向异性求取临界转速部分，不过结果可能不准确。(Riccati Wen Bangchun own series of books on demand critical speed rotor, the rotor is a single span double turntable. There are singular point removal, extraction modes, the convergence of iterations for the Secant method. Anisotropy strike critical speed section, but the results may be inaccurate.)

在用混沌理论和神经网络进行短期负荷预测时，神经网络的输入的选择至关重要，该程序用matlabl实现了基于混沌时间序列的嵌入维数的选择(using chaos theory and neural networks for short-term load forecasts, the neural network is essential to choose an input, The procedure used matlabl achieved a chaotic time series based on the embedding dimension of choice)

说明：  fractal decomposition

多频道奇异谱分析，即奇异谱分析的升级版，广泛应用于气象变化，股市波动，降噪等领域。(Multi-channel singular spectrum analysis, that singular spectrum analysis of an upgraded version of the widely used weather changes, stock market volatility, noise reduction and other areas.)

说明：  齿轮动力学，考虑的因素较多，有位移，法向力。(Gear dynamics, take into account many factors, displacement, normal force.Hopefully it will be useful)

说明：  基于GVF Snake模型与椭圆肤色模型融合的 手势轮廓检测方法 (GVF Snake model based on skin color model with the elliptical contour integration of gesture detection method)

is to parse website packet strorm

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)