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编译通过的卡尔曼滤波用于组合导航算法matlab例子

于 2022-06-26 发布 文件大小:5.15 kB
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模拟数据分析处理的过程,包括最小二乘法、SVM、神经网络、1_k近邻法,matlab实现了五类灰色关联度模型的计算,外文资料里面的源代码,用于特征降维,特征融合,相关分析等,可以实现模式识别领域的数据的分类及回归。

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  • untitled
    num=[2 1.4 -0.9 -0.158 0.4104 0.0294 -0.0668] den=[1] figure(1) zplane(num,den) num1=[1 2.7 -12.61 -24.757 66.301 62.072 -126.786] den1=[1] figure(2) zplane(num1,den1) num2=[0.2 -0.26 1.934 10.413 1.934 -0.26 0.2] den2=[1] figure(3) zplane(num2,den2) num3=[1.25 0.5 -2.1 -2.1 0.5 1.25] den3=[1] figure(4) zplane(num3,den3) num4=[1.1 3.12 -2.5 0.6 0.5 0.006 1] den4=[1] figure(5) zplane(num4,den4) (good)
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    2010-11-26 15:30:54下载
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