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。
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.
结果表明，将小波域上的经验维纳滤波器与平移不变小波相结合进行去噪，所得到的效果是最佳的。
From the experiments and analysis carried out in the paper, the optimal denoising results can be obtained by the combination of the empirical Wiener filter and the translation invariant wavelet.
为此将中值滤波与小波阈值去噪相结合构造了小波域中值滤波器，并应用于陀螺数据处理中。
Therefore based on the median filter and the threshold de-noising of wavelet, the wavelet domain median filter was formed, and it was applied to the gyro's signal processing.
利用小波变换提取了密闭爆发器压力信号的时频特征，讨论了小波在压力信号趋势检测和信号去噪方面的应用。
The time frequency information of pressure in closed bomb is gained by using wavelet. Application of wavelet in the trend detection and signal denoising is discussed.
针对地震信号随机干扰的特点，运用二维小波变换的理论，设计了相应的变换域去噪滤波器。
A filter is designed to attenuating noise in accordance with the characteristics of seismic signals having a random disturbance with the theory of the 2-d wavelet transform.
针对地震信号随机干扰的特点，运用二维小波变换的理论，设计了相应的变换域去噪滤波器。
A filter is designed to attenuating noise in accordance with the characteristics of seismic signals having a random disturbance with the theory of the 2-d wavelet transform.
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