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神经网络用于多传感器时间对准，对准数值精度明显高于三次样条插值的结果-Time neural network for multi-sensor alignment, Alignment numerical accuracy significantly higher than the results of cubic spline interpolation
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测试MOTOMAN的笛卡尔空间圆弧插补和关节空间三次样条插值相结合的插补函数-Test MOTOMAN circular interpolation of the Cartesian space and joint space cubic spline interpolation combination of interpolation functions
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使用matlab软件，并利用三次样条插值法 求信号的包络线 源代码-Use matlab software, and use cubic spline interpolation method the signal envelope source code
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提高算法的精确度，以及利用三次样条插值法与真实值做对比-Improve the accuracy of the algorithm, as well as cubic spline interpolation method to do comparison with the real value
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