This paper analyzed the characteristic of noise in hyperspectral data deeply, and puts forward a de-noising method based on stationary discrete wavelet transform (SDWT).
文章深入分析了高光谱遥感数据中噪声的特点，提出了一种基于平稳小波变换的改进小波滤噪算法。
As for the stable stochastic noise component linearly superposed on the median series, it is smoothed by means of the default soft threshold wavelet de-noising.
对线性叠加在中值系列中的平稳随机噪声，用默认软阈值小波消噪平滑中值序列中的随机噪声分量。
The principle of wavelet transform DE noise and it's application in ultrasonic image testing of electric contact braze quality inspection was introduced in this paper.
介绍了小波变换降噪的原理及其在低压开关触头钎焊质量的超声成像检测中的应用。
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。
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。
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。
Assisted by other bands high frequency geometric information, reconstruct noise band image with wavelet reconstruction filter to de-noise noise band image.
以其他波段的几何信息辅助噪声污染波段重构，经过相应的小波重构滤波器滤波，获得该波段图像的重建以进行消噪。
Due to the good localization feature of the wavelet transform both in time plane and in frequency plane, a wavelet-based de-noise method is presented for extracting EPs in single trails.
由于小波变换在时域和频域上都具有良好的局部化特性，基于小波变换的去噪方法，可以达到从单次样本中提取视觉诱发电位的目的。
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。
Motivated by finding a more general case that incorporates the soft and hard threshold to achieve a compromise between them, wavelet de-noise based on trimmed threshold was presented.
为了能在软硬阈值两种方法结合之间找到折衷的方法，提出了一种平衡阈值处理方法。
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。
This paper mainly points out how to analyze and get rid of the random noise of seismic data by using the wavelet transform and de-noising method by threshold filter in wavelet domain.
本文主要是使用离散二进小波变换，采用小波域阈值的去噪方法对地震信号中随机噪声进行分析和处理。
The method based on wavelet analysis to de-noise the acquired steady data is described. It is checked with actual testing data and the result is satisfactory.
采用小波分析方法对稳态测量参数进行去噪，并用实际的试验数据对其进行了验证，取得了良好的效果。
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。
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。
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