set noise

  • set noise
  • 释义

    机内噪声;本身固有噪声

纠错 数据更新时间:2026-04-19 17:01:05
1、

Note : 1 Ripple & Noise test: Ripple & Noise bandwidth is set to 20 MHz.

纹波 和 噪声测试: 纹波 和 噪音带宽设置在20兆赫兹.

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2、

The spatial stochastic distribution of phase concentration would cause a differential pressure noise when two phase flow is crossing a throttling set.

两相流流过节流装置时产生的差压测量噪音是由于相浓度在空间的随机分布所引起的。

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3、

Through the noise characteristics of this paper using the Least Squares Support Vector Machine sharpening image denoising handling, noise corresponding value is set to zero, in the final strengthen neglected, the entire processing time reduction.

通过对噪声特性分析,采用本文提出的最小二乘支持向量机方法对锐化图像进行去噪处理,噪声对应的值被置为零,在最后增强中被忽略,使整个处理时间减少。

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4、

The chaotic time series behave unknown chaotic character and have a big data set, which requires the improvement of the traditional local average nonlinear noise reduction method. A nonlinear local approximation noise reduction method is presented.

针对混沌时间序列具有的动力特性未知、长系列等特点,对常规局部平均去噪方法进行改进,提出一种非线性局部逼近去噪方法。

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5、

It is also feasible to set up special fund for damages of environmental noise pollution claims, thus enabling innocent victims to obtain duly compensation according to the law.

并可设立环境噪声污染损害赔偿基金,以确保遭受环境噪声污染危害的无辜受害人届时能依法获得赔偿。

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6、
7、

A theoretical model for measuring mass flowrate and quality of two phase flow by the noise of throttling set

节流装置噪音测量两相流量和干度的理论模型

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8、

Retrofitting of Differential-pressure Measuring Systemof Boiler Drum Level on No.3 Boiler in Luohe Power Plant The spatial stochastic distribution of phase concentration would cause a differential pressure noise when two phase flow is crossing a throttling set.

洛河电厂3号炉汽包水位差压测量系统改造两相流流过节流装置时产生的差压测量噪音是由于相浓度在空间的随机分布所引起的。

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9、

The noise characteristic of the train wheel set vibration signal is researched through spectral correlation density function based on the auto-correlation function analysis of additive noise.

以列车运行过程中最常见的加性噪声为例,分析了循环自相关函数的降噪效果。继而研究了谱相关密度函数对列车轮对振动信号中常见噪声分量的降噪特性。

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10、

This algorithm can automatically determine the number of clusters in the target data set, and can find arbitrary shape clusters, filter the "noise" data, improve the clustering results.

该算法可以自动决定目标数据集中簇的个数,能发现任意形状的簇,并且可以过滤噪声数据改善了聚类的效果。

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