1) Strong noise
强噪声
1.
Pretreatment for laser spot image in strong noise
强噪声条件下激光光斑图像预处理方法研究
2.
The general issue of separating signal from noise background is first analyzed,then the stress is put upon the extraction of weak signal from strong noise background by BP neural networks.
分析了一般情况下的信号与噪声分离的理论和方法问题 ,重点讨论了利用BP神经网络从强噪声背景下的提取弱信号的方法 ,给出了具体的BP训练算法和提取弱信号的公式。
3.
A method of sound detection under strong noise conditions is advanced applying the theory of differential amplifier and utilizing transducers having different sensitivities.
提出了应用差动放大理论和灵敏度不同的传感器来完成强噪声环境下微弱声信号提取的方法。
2) noise intensity
噪声强度
1.
When Ma in channel 3 increased, noise intensity ~increased monotonously; frequency of the peak remained the same, but its power became stronger.
实验结果表明随着三通道气流马赫数逐渐增大,噪声强度随之增大,峰值频率基本不变,但能量变强;随着一通道气流马赫数增大,噪声强度先减小后增大,并且频谱图上出现高频峰,该峰能量逐渐变强;改变一、三通道气体喷口流速比,噪声强度呈现减小、增大、减小的非均匀变化趋势,峰值频率逐渐变大。
2.
In this paper, the problem of robust sampleddata estimation for continuous systems with noise intensity uncertainty is discussed by taking account of intersample behavior.
基于内采样特性讨论噪声强度不确定的连续系统的鲁棒采样估计问题,主要目的是为这类不确定系统设计离散滤波器,使每个状态的估计误差方差不大于预先指定值,从而获得满意的稳态滤波特性。
3) Noise enhancement
噪声增强
4) noise of source intensity
源强噪声
5) intensity noise
强度噪声
1.
Research on methods of intensity noise reduction in spectrum-sliced WDM systems;
抑制频谱分割WDM系统强度噪声的方法研究
2.
Expatiating on the intensity noise properties of solid lasers,the experiments find the relaxation oscillation noise(RON) is the main reason to bring intensity noise in the monolithic Nd:YAG laser.
阐述了固体激光器强度噪声的特性,实验观测表明驰豫振荡是单块固体Nd:YAG激光器强度噪声的主要来源,噪声峰值的中心频率随着泵浦和输出功率的增加向高频方向移动,且在中心频率附近发生180°相位跳变。
3.
The intensity noise of a free-running diode laser was investigated experimentally.
在实验上研究了自由运转模式下半导体激光器的强度噪声。
6) denoising strong noise
去强噪声
补充资料:椐椐强强
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