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。
Experiments show that wavelet filtering can enhance the small fault detection capacity and detect more timely compared with exponentially weighted moving average (EWMA) filter.
实验表明，小波滤波法能提高小故障的检测能力，而且与指数权重滑动平均滤波法相比更具有故障检测的及时性。
Through the filter experiment on the actual sampling signal, and compares with the common average filter algorithm, it proved the wavelet analysis algorithm has better filter effect.
通过对红外水分仪实际采样信号的滤波试验，并与一般平均滤波算法相比较，证明其具有更好的滤波效果。
Approximate coefficients in low frequency band of two images and the average over absolute wavelet packet coefficients of high frequency brand form a fused coefficients matrix.
对两幅图像低频波段的逼近系数取均值，对高频段选取绝对值大的小波包系数，得到融合系数矩阵。
Signal sample is analyzed through wavelet packet theory, best base is chose, and the average energy of every sub frequency band is calculated, at last 14 links of characteristic vectors are get.
将信号样本进行小波包变换，并选择最好基，计算各子频带的平均能量，得到14维特征向量。
This paper is mainly studied denoising of image. Denoising methods of image are introduced such as average method, morphological filtering, median filt ring and wavelet.
本文主要以图像除噪为研究对象，介绍了图像的降噪方法—平均值法、形态学滤波器、中值滤波器以及小波。
To extract early fatigue feature of engine bearings, the paper presents an average spectrum method with double-wavelet and the diagnosis examples are used to show the validity of the method.
为了提取机车滚动轴承早期损伤类故障特征，本文提出了一种双重小波平均谱方法，并通过诊断实例验证了方法的有效性。
Wavelet entropy analysis shows that after sleep deprivation, compared with natural sleep, the 256 points WE of spontaneous EEG and the 32 points average WE of ERP evidently decreased.
小波熵分析结果表明，与正常睡眠组比较，睡眠剥夺组自发脑电的256点小波熵和事件相关电位的32点小波熵均值都显著降低。
The original image is transformed by wavelet transforming, and the watermark is embedded in the selected detail subband according to neighboring symbols average value.
原始载体图像经小波变换后，根据邻近特征平均值将水印嵌入到小波域中所选择的细节子带上。
The original image is transformed by wavelet transforming, and the watermark is embedded in the selected detail subband according to neighboring symbols average value.
原始载体图像经小波变换后，根据邻近特征平均值将水印嵌入到小波域中所选择的细节子带上。
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