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出 处:《电讯技术》2011年第12期68-73,共6页Telecommunication Engineering
摘 要:为了解决船载外测设备采样数量大的问题,船中心机必须对外测数据进行实时预处理,适当压缩后才能向外发送。将多项式拟合的方法应用到外测数据的实时压缩算法之中,通过建立一组正交多项式基,运用最小二乘法估计得到拟合点的平滑公式,在综合分析多项式截断误差和随机误差的基础上总结得出最佳压缩多项式次数和采样点数。理论分析和实例仿真结果均表明,该方法达到了良好的压缩和滤噪的效果,能够在比较高的精度范围内体现数据的真实曲线特征。In order to save storage space and improve transport efficiency from huge of dynamic data of TT&C ship-borne trajectory measurement equipment, the ship-borne central computer must reprocess and compress the data. An algorithm based on polynomial fitting for real-time trajectory data compression is proposed in this paper. A series of orthogonal polynomial basis are presented and the smoother formula of output point with the least square filtering is applied. When the truncation error and random error are considered simultaneously, the best filter is obtained . Computational results show the novel algorithm is a promised compression and noise filtering method.
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