1) subsidence series
沉降数据序列
1.
Probing to characters of subsidence series, we study on application of polynomial regression, wavelet denoising and frequency analysis on subsidence series processing.
针对沉降数据序列的特征,研究了多项式回归方法、小波降噪方法、频谱分析法在沉降数据处理中的应用。
2) settlement data
沉降数据
1.
Aimed at the problem of error treatment of measured settlement data,the fairing filtration theory is put forward to treat the measured settlement errors.
实例应用结果表明,经光顺样条滤波处理后,能提高沉降数据分析的精度。
3) data sequence
数据序列
1.
It is difficult to tackle the problem about testing of attributes between two data sequences for grey relational analysis because the number of data sequences must be more than 2 in order to structure a grey relational space.
灰关联分析要求数据序列个数必须大于2才能构成灰关联空间,难以解决两个数据序列之间属性检验问题。
2.
Several non-dimensionalization changings of single-index data sequence and their characteristics are studied in this paper.
研究了单指标数据序列的几种无量纲化变换及其性质 ,提出了一种对灰色斜率关联度的改进模型 ,改进后的关联度能够反映序列的正、负相关关系 ,并且对原始序列进行无量纲化变换处理时不影响关联系数及关联度的值 ,还研究了改进的关联度及关联系数的性质。
3.
The purpose of filtering of a data sequence is to reduce the influence of measurement errors as possible on condition that the periodicity, ageing, and other effect quantities aroused by causal quantities should be maintained.
数据序列滤波的目的是在保留数据序列的周期性、时效性及其它原因量引起的效应分量的前提下 ,尽可能地削弱测读误差的影响。
4) Data series
数据序列
1.
Grey model is an exponential model,which has high precision to observation data series fiting in with exponential rule.
灰色模型是一种指数模型 ,它对于符合指数规律的观测数据序列具有较高的精确度。
6) surface subsidence time series
地表沉降序列
补充资料：数据通信网(见数据通信)
数据通信网(见数据通信)
data communication network
shu)u tongxinwang数据通信网(datac。mmunicati。nne饰ork)见数据通信。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条