multiproject

牛顿拉夫逊法 的matlab 程序,已经验证 可以使用(Newton Raphson method)

从先验概率中采样，计算权重，包括最后计算压缩图像的峰值信噪比和压缩效果的源码,内含心电信号数据及运用MATLAB写的源代码。( Sampling a priori probability, calculate the weight, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, ECG data and includes source code written in MATLAB.)

不同窗函数数下，自功率谱，互功率谱，频响函数和相干函数，绘制功率谱图(Not under the old function, since the power spectrum, cross-power spectrum, frequency response function and coherence function, map power spectrum)

High Density Impulse Noise Removal

匹配追踪和正交匹配追踪，一种基于多文档得图像合并技术，gmcalab 快速广义的形态分量分析。( Matching Pursuit and orthogonal matching pursuit, Based on multi-document image obtained combining technique, gmcalab fast generalized form component analysis.)

SWTEST Shapiro-Wilk parametric hypothesis test of composite normality. [H, pValue, SWstatistic] = SWTEST(X, ALPHA, TAIL) performs the Shapiro-Wilk test to determine if the null hypothesis of composite normality is a reasonable assumption regarding the population distribution of a random sample X. The desired significance level, ALPHA, is an optional scalar input (default = 0.05). TAIL indicates the type of test (default = 1).

matlab程序实现 人工鱼群算法对测试函数进行测试 包里还包含测试函数的程序(AFSA matlab program to test the function of the test package also includes a program to test the function)

Telnet Connect Server Application in C#, Visual Studio 2010

fuzzy toolbox documents

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)