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电力系统的MATLAB+SIMULINK仿真与应用(Matlab in power system)

Matlab编程实现FFT变换及频谱分析的程序代码(Matlab Programming FFT transform and spectral analysis of the program code)

说明：  数字通信中的平方根Nyquist滤波器设计，含说明文件和matlab仿真代码(The square root Nyquist digital communication filter design, including documentation and matlab simulation code)

用matlabr2009编程实现神经网络模糊聚类算法(Programming neural network with matlabr2009 fuzzy clustering algorithm)

amplitude shift keying along with the result

本程序是快速独立成分分析算法的主程序，包含了详细的注释，不含子程序。(This procedure is fast independent component analysis algorithm of the main program, including detailed notes, excluding subroutine.)

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)

matlab的学习课件，在老师那里得到的，共13章，很容易懂(matlab learning courseware, the teachers get, and a total of 13 chapters, it is easy to understand)

Introduction to Data Mining Pang-Ning Tan chapte 4 分类基本概念课件改编版。加入 纯净度测量matlab函数，增益matlab函数，以及只有结果的例题的解题过程。(Introduction to Data Mining Pang-Ning Tan chapte the 4 classification basic concept courseware adaptation. Join purity measurement matlab function, gain matlab function, and only the results of examples of the problem solving process.)

负正弦加白噪声随机过程下使用MUSIC方法进行信号频率估计仿真，信号样本数去1000，估计的自相关矩阵为8阶，分别采用AIC和MDL准则估计信号源个数，并画出相应的MUSIC频率估计谱线。(Negative sine plus white noise random process method using MUSIC frequency estimation simulation, signal samples to 1000, the estimated autocorrelation matrix of order 8, AIC and MDL criteria were used to estimate the number of signal sources, and draw the corresponding MUSIC frequency spectrum estimation.)