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1)  noised-signal
含噪信号
1.
This paper analyzes generalized Hilbert transform from the mathematics definition at first,and then discusses the basic principle of generalized Hilbert transform as well as the difference between generalized Hilbert transform and Hilbert transform in noised-signal.
接着主要研究广义希尔伯特变换在含噪信号边缘检测中的应用,及参数的选取,并进行不同参数的效果比较与误差分析,得出其最佳的参数组合。
2)  noisy overlapped signals
含噪声重叠信号
1.
The proposed method is an efficient tool for processing analytical signals, especially for noisy overlapped signals.
通过Haar小波函数、三次样条函数的导函数、二阶样条小波为小波母函数的连续小波变换法对模拟含噪声重叠信号的处理结果表明:二阶样条小波的连续小波变换法所得结果的信噪比明显高于前两种方法。
2.
A new method called continuous spline wavelet transform(CSWT)for determining the peak position of noisy overlapped signals in analytical chemistry was proposed by selecting the secondorder B-splinewavelet as analyzing wavelet.
结果表明 ,采用连续样条小波变换法能使峰变窄 ,并能提高信号的信噪比 ,同时还能从含噪声重叠信号中直接得到重叠峰的数目及其相应的峰位置 。
3)  noisy mixture signals
含噪混合信号
4)  signal denoising
信号消噪
1.
ECG signal denoising based on wavelet transform and adaptive filter;
基于小波变换自适应滤波方法的ECG信号消噪
2.
The wavelet transform and its multi resolution analysis and the principle of nonlinear signal denoising are briefly introduced.
简要介绍了小波变换和多分辨率分析 ,及其非线性信号消噪原理 ,并将该项技术应用于异步电动机故障信号的消噪处理 ,提出了 1种在以数字信号处理器 (DSP)为核心所构成的异步电动机故障检测系统中对信号进行消噪的新设计方案。
5)  Signal denoising
信号去噪
1.
Study on signal denoising based on stage-combined discrete wavelet transform;
基于级联离散小波变换的信号去噪方法研究
2.
The Study of the Method Based on Wavelets in Signal Denoising;
基于小波的信号去噪方法研究
6)  signal de-noising
信号消噪
1.
Application of wavelet threshold evaluation in signal de-noising of power system faults;
小波阈值估计在电力系统故障信号消噪处理中的应用
2.
The uncertainty of deformation monitoring signal de-noising;
变形监测信号消噪的不确定度
3.
In this paper,a new method of signal de-noising is presented with three important factors being taken into consideration,that are mother functions,function order and the number of functions,and the proposed method is based on structural risk minimization(SRM) and wavelet threshold method.
基于结构风险最小化方法将改进的小波变换用于故障信号消噪,它考虑的三个重要因素是:基函数,基函数排序和基函数个数选取。
补充资料:内含信号肽
分子式:
CAS号:

性质:一般信号肽位于成熟肽的N′一端,而这一类信号肽位于成熟肽中间。例如真核细胞中卵清蛋白的信号肽位于N′~端26~46氨基酸残基处。

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