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METHOD FOR ANALYZING NONSTEADY DATA

机译:非定常数据的分析方法

摘要

PROBLEM TO BE SOLVED: To obtain robustness against noise and superior detection of unsteady on-line and to improve the resolution of a spectrum analysis of nonsteady data by sequentially finding a high-order correlation function from a momentary high-order correlation function by a non-homogeneous high-order exponent smoothing method. SOLUTION: For the momentary high-order correlation function (expression I), the sequential high-order correlation function (expression III) which applies the non-homogeneous high-order exponent smoothing method (expresson II) adaptively is provided. When a circuit is actualized by a conventional method, an element part of the non-homogeneous high-order exponent smoothing method requires delay elements of data length, but in this case, five elements are needed at most to easily generate the circuit. Further, they can be made parallel, so calculation performed by hardware becomes fast and more practical. It is difficult for the conventional method to very the data length, but this method provides flexible elements which are adaptive according to the state of noise and the extent of unsteady at the time of use enabled by varying smoothing parameters.
机译:要解决的问题:通过从瞬时高阶相关函数中依次找到非相关数据的高阶相关函数,从非稳态序列中依次找到一个高阶相关函数,以获得对噪声的鲁棒性和在线非稳态的出色检测,并提高非稳态数据频谱分析的分辨率。 -齐次高阶指数平滑法。解决方案:对于瞬时高阶相关函数(表达式I),提供了自适应地应用非均匀高阶指数平滑方法(表达式II)的顺序高阶相关函数(表达式III)。当通过常规方法实现电路时,非均匀高阶指数平滑方法的元素部分需要数据长度的延迟元素,但是在这种情况下,最多需要五个元素来容易地生成电路。此外,它们可以并行进行,因此由硬件执行的计算变得更快且更实用。传统方法很难达到非常长的数据长度,但是该方法提供了灵活的元素,这些元素可以根据噪声状态和使用时的不稳定性程度(通过更改平滑参数来实现)来自适应。

著录项

  • 公开/公告号JPH11102354A

    专利类型

  • 公开/公告日1999-04-13

    原文格式PDF

  • 申请/专利权人 HIRANO TAKAYUKI;

    申请/专利号JP19970276673

  • 发明设计人 HIRANO TAKAYUKI;

    申请日1997-09-25

  • 分类号G06F17/15;G06F17/00;G06F17/14;

  • 国家 JP

  • 入库时间 2022-08-22 02:35:11

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