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FCM_KFCM

于 2009-10-10 发布 文件大小:68KB
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  fcm kfcm segmentation

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  • work
    lpc 线性预测分析 可以计算不同帧位和阶数的语音线性预测结果和误差(lpc linear prediction analysis, we can calculate the order of the different frames of voice-bit and Linear Prediction results and error)
    2009-11-29 22:34:27下载
    积分:1
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    2011-01-03 17:33:26下载
    积分:1
  • cor_ls
    把辨识分成两步进行:第一步:利用相关分析法获得对象的非参数模型(脉冲响应或相关函数);第二步:利用最小二乘法、辅助变量法或增广最小二乘法等,进一步求的对象的参数模型。如果模型噪声与输入无关,则Cor-ls相关最小二乘法(二步法)可以得到较好的辨识结果。Cor-ls相关最小二乘法(二步法)实质上是先对数据进行一次相关分析,滤除了有色噪声的影响,再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围,计算量不大,初始值对辨识结果影响较小。但要求输入信号与噪声不相关(The identification is divided into two steps: the first step: using the correlation analysis method for object nonparametric model (impulse response or related function) The second step: using the least squares method, auxiliary variable method or augmented least squares method and so on, further for the parameters of the object model. If the model input noise and independent, the Cor- ls related least squares (two footwork) can get good recognition results. Cor- ls related least squares (two footwork) is essentially the data to a correlation analysis, filter in addition to the influence of colored noise, using least squares inevitable will improve the identification result. To adapt to a wide range of noise and calculation is not big, the initial value to identification results less effect. But for the input signal and noise are not related)
    2012-12-28 16:13:22下载
    积分:1
  • matlab
    matalb建模仿真与实例精讲的源代码,希望有助于你,也希望你分享更多东西(matalb Modeling, Simulation and the source code of the instance of Jingjiang)
    2012-03-27 21:15:53下载
    积分:1
  • paper3
    An Experimental Investigation of SIMO, MIMO, Interference-Alignment (IA) and Coordinated Multi-Point (CoMP)
    2015-03-22 00:48:38下载
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  • EKF_UKF
    扩展卡尔曼滤波算法以及不敏卡尔曼滤波算法的比较(the comparison between EKF and UKF)
    2013-11-14 09:09:16下载
    积分:1
  • tower
    自己写的,很有心得,还往大家多多支持,谢谢!(Write your own, very learned, but also to the generous support of everyone, thank you!)
    2009-12-15 19:56:01下载
    积分:1
  • CAPONWAVE
    波束形成就是从传感器阵列重构源信号。(1)、通过增加期望信源的贡献来实现;(2)、通过抑制掉干扰源来实现。经典的波束形成需要观测方向(期望信源的方向)的知识。盲波束形成试图在没有期望信源方向信息的情况下进行信源的恢复。 波束形成技术的基本思想是:通过将各阵元输出进行加权求和,在一时间内将天线阵列波束“导向”到一个方向上,对期望信号得到最大输出功率的导向位置即给出DOA估计。 虽然阵列天线的方向图是全方向的,但阵列的输出经过加权求和后,却可以被调整到阵列接收的方向增益聚集在一个方向上,相当于形成了一个”波束”。这就是波束形成的物理意义所在。 ()
    2007-07-23 15:54:06下载
    积分:1
  • huise
    用来做灰色预测的源代码,适用于小样本的预测,精度较高(Used for gray prediction of source code, applies to small sample forecast accuracy)
    2007-12-07 16:45:00下载
    积分:1
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    典型精馏塔的MATLAB模拟,(41块塔板,相对流率1.5,纯度99 ,液相流,恒压)(Typical dynamic model of distillation tower on MATLAB, (41 stages , relative volatility 1.5 99 purity liquid flow dynamics constant pressure))
    2012-05-15 07:14:24下载
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