data noise发音

意思翻译

数据噪声

相似词语短语

noise───n.(Noise)人名；(英)诺伊斯；vt.谣传；vi.发出声音；大声议论；n.[环境]噪音；响声；杂音

data───n.（Data）（日）驮太（姓）；（印、葡）达塔（人名）；n.数据；资料

riotous noise───喧闹

noise immunity───抗扰度[性]；抗干扰度（性）

lagging noise───滞后噪声

terrible noise───可怕的噪音

ruffling noise───杂音

much noise───太吵了

amphiuma noise───两性噪声

双语使用场景

In this paper we mainly study the base stability analysis of GPS deformation monitoring and suppressing the surveying data noise by adaptive Kalman filtering.───本文主要研究GPS变形监测的基准稳定性分析及利用自适应卡尔曼滤波进行变形监测数据除噪。

Additionally, using the heuristic information, this paper proposes a solving data noise problem method.───另外，利用这种启发式信息，提出了一种解决噪音问题的方法。

The results showed that effect of the algorithm to the remote measurement data noise lossless compression is obviously, which can meet the requirements of the subject.───结果表明，该算法对遥测噪声数据的无损压缩效果明显，满足课题的要求。

at the same time , similar to pca , spca can filter data noise.───谱主成分分析类同于主成分分析能过滤数据的噪声。

An overview of the methods and techniques for seismic data noise attenuation───地震资料去噪方法、技术综合评述

Hyperion Hyperspectral Data Noise Mean Filter Based on Rough Sets───基于粗集均值滤波的Hyperion高光谱数据滤噪方法

英语使用场景

Existing algorithms can not strike a good balance between robustness to data noise and sensitivity to concept drifting.

The results showed that effect of the algorithm to the remote measurement data noise lossless compression is obviously, which can meet the requirements of the subject.

The results showed that the restraint variable-dimension method not only could have high calculation accuracy and good numeric stability but also have certain data noise control capability.

In this paper we mainly study the base stability analysis of GPS deformation monitoring and suppressing the surveying data noise by adaptive Kalman filtering.

Additionally, using the heuristic information, this paper proposes a solving data noise problem method.

Two experiments are illustrated and these results have shown that the proposed approach has good performance in various kinds of data domains with data noise and outliers.

By analyzing the defects of the traditional morphology filtering method, an improved mathematical morphology (MM) method is proposed to deal with the data noise in the power quality (PQ) processing.

Effective data discretization can obviously improve system ability on clustering instances, and can also make systems more robust to data noise.