The result shows this method working efficiently in signal de-noise, meanwhile, the speed of calculating can be adopted by the remote monitor system of hydro plants.
结果表明应用小波多分辨分析能有效的去噪，同时，应用程序的计算速度能满足在线监测系统对于信号分析的要求。
By exploring the phase information among symbols of the Direct Sequence Spread Spectrum (DS-SS) signal, a novel de-noising approach, used in low signal noise ratio environment, is presented.
利用DS -SS信号符号间相位信息，提出了一种可工作于低信噪比下的直接序列扩谱(DS - SS)信号噪声抑制方法。
In order to effectively abate the noise of geared pump vibration signal, matching pursuit is introduced for de-noising.
为了更有效地消除齿轮泵振动信号的噪声，引入匹配追踪消噪方法。
Compared with the traditional de-nosing methods by threshold value and translation invariance, the algorithm increases the signal to noise ratio.
与传统的阈值去噪法和基于平移不变量的去噪算法相比，该算法提高了信噪比。
Due to different wavelet threshold fit for different characteristic of signal, various wavelet de-noise threshold was used to decline the harmonics of signal and the best threshold was chosen.
由于在小波降噪中不同的阈值适应的信号特征不同，采用多种小波阈值对城市轨道交通牵引供电系统谐波信号进行降噪，并从中选择了最优的降噪阈值，达到对信号的优化处理。
As a novel signal processing method, adaptive sparse representation has a merit of representing signal flexibly and can de-noise effectively when maintaining features of targets.
自适应稀疏表示，作为一种新的信号处理方法，具有表达信号灵活的特点，能够在保持目标特征的同时有效地去除噪声。
Concerning the detection of weak signal in stronger noise background, a novel method was proposed in terms of stochastic resonance processing and by using the better de-noise feature of wavelet.
针对强噪声背景中的弱信号检测问题，在经典随机共振处理方法的基础上，利用小波良好的去噪特点，提出了随机共振加小波去噪检测弱信号的新方法。
In the real signal processing, the signal we get always contains lots of noise. In order to get the useful message from the signal with noise, we must use some methods to de-noise in the message.
在实际信号处理过程中，采集到的信号包含大量噪声，为了提取含噪信号中的有用信号，必须采用某种方法将噪声从信号中滤除。
The method that combine the cumulative average and multi-resolution analysis in wavelet transform was presented which can de-noise the weak signal collected from the sensor.
提出了对传感器采集到的微弱信号进行累加平均和小波变换中的多分辨率分析方法相结合去噪。
In order to improve the signal-to-noise of the pulsar signal, an algorithm of pulsar signal de-noising based on Empirical Mode Decomposition (EMD) is proposed.
为了提高脉冲星辐射信号的信噪比，提出了一种基于经验模态分解(EMD)的脉冲星信号去噪算法。
Wavelet soft-threshold de-noising method was applied to preprocess the noisy signal, and the noise interference in disturbance detection was reduced to a great extent.
采用小波软阈值去噪方法对信号噪声进行预处理，很大程度地减小了噪声对扰动检测的干扰。
Then, wavelet packet was used to decompose and de-noise the milling force signal, as well as extracts the signals 'energy characteristics as import vectors of BP Neural Network.
然后，采用小波包对采集的铣削力信号进行分解和消噪处理，并提取其能量特征作为BP神经网络的输入向量。
Threshold de-noising based on wavelet transform which is proposed to determine the decomposition order adaptively is an efficient method to reduce the white noise in the digital signal.
在对带白噪声信号的小波变换特性分析的基础上，基于自相关函数的白噪声检验方法，提出了一种确定小波分解层数的自适应算法。
The experiments indicate that good de-noised results can be obtained and the signal-noise ratio can be improved effectively with the method.
实验表明，利用该方法可以得到很好的消噪结果，有效提高信号的信噪比。
The experiments indicate that good de-noised results can be obtained and the signal-noise ratio can be improved effectively with the method.
实验表明，利用该方法可以得到很好的消噪结果，有效提高信号的信噪比。
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