Wavelet zero crossing representation is investigated. A new and simple method of reconstructing signal from its wavelet zero crossing representation is given.
分析了信号零交叉表示方法，给出了新的由零交叉表示进行原始信号重构的算法。
Based on zero crossing representation of wavelet transform of this radial function and matching procedure, a new algorithm to identify orbits of shaft centerline is proposed.
基于此函数的小波变换零交叉表示和匹配过程，得到了识别轴心轨迹的一种新方法。
The paper introduces the definition of wavelet transform and its properties. Especially the philosophy for zero-crossing wavelet and how it can be used in seismic prospecting are presented.
介绍了小波变换的定义及小波变换的性质，特别介绍了零通小波的理论及其如何在地震勘探资料处理中的应用。
The zero-crossing of the wavelet transform of the normal person pulse-wave is found out as a fact that its the wavelet transform coefficients correspond strictly to its time field characteristic.
分析了正常的人脉搏信号的小波域特征，发现脉搏信号的时域特点严格对应于其小波变换的过零点。
Based on the B-Spline theory, this paper present a new kind of multi-scale wavelet transform. The feature of a signal can be extracted in its maximum module or zero-crossing.
本文基于数学样条理论提出了一种新的多尺度小波变换，通过其模极值或零交叉可以有效地提取信号的特征。
The zero-crossing of the wavelet transform of the normal personpulse-wave is found out as a fact that its wavelet transform coefficientscorrespond strictly to its time field characteristic.
分析了正常人脉搏信号的小波域特征，发现脉搏信号的时域特点严格对应于其小波变换的过零点。
In the denoising and preprocessing for seismic inversion, a zero-crossing filter is developed based on wavelet analysis to remove surface waves from the multi-component seismic data.
针对地震反演预处理的地震降噪问题，本文结合小波分析设计了一种过零点滤波器，对多分量地震资料进行了面波剔除研究。
In the denoising and preprocessing for seismic inversion, a zero-crossing filter is developed based on wavelet analysis to remove surface waves from the multi-component seismic data.
针对地震反演预处理的地震降噪问题，本文结合小波分析设计了一种过零点滤波器，对多分量地震资料进行了面波剔除研究。
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