Pressure data were analyzed by wavelet transform in wavelet domain. Frequency band energy spectrum and intensity index of ISW based on wavelet coefficient were obtained.
通过基于子波的分析方法，对压力数据进行了分析，获得了基于子波系数的频带能量谱和冲击波强度指数。
The noise-extracted signal which is reconstructed by the revised wavelet coefficient could clearly reflect the time difference between incidence wave and reflection wave.
经过修正后的小波系数重构得到的信号图能够消去大部分噪声，清晰地反映入射波和反射波之间的时差。
By conjoining the wavelet coefficient absolute value with the local area energy, a new image fusion algorithm is proposed based on the techniques of wavelet decomposition.
在小波分解的基础上，将小波系数绝对值与局部能量二个激活度量相结合，提出了一种新的小波图像融合算法。
The wavelet coefficient curves of temperature and precipitation on different time scales reveal that the long periodical variation trend is quite different from the short.
气温和降水在不同时间尺度上的小波系数变化曲线图揭示了气候的长期和短期变化趋势有很大不同。
This paper mainly study how to realize wavelet coefficient layered coding and transmission and image data progressive transmission using the correlation of the transformed image.
本文主要研究如何利用图像小波变换后系数间的相关性实现小波系数的分级编码和传输，从而实现图像的渐近传输技术。
The wavelet coefficient of the feature band was regarded as the feature parameter of the Acousto Ultrasonic signal and it can distinguish defects from the adhesively bonded joints.
以此特征频带的小波变换系数作为声-超声信号特征参数，可分辨出胶接区域的缺陷信号。
The multi-scale coherent eddy structure in turbulent boundary layer is detected through taking multi-scale wavelet coefficient of stream velocity component signal as characteristic quantity.
用流向速度分量信号的多尺度子波系数作为特征量检测平板湍流边界层多尺度相干结构。
The multi-scale coherent eddy structure in turbulent boundary layer is detected through taking multi-scale wavelet coefficient of stream velocity component signal as characteristic quantity.
用流向速度分量信号的多尺度子波系数作为特征量检测平板湍流边界层多尺度相干结构。
应用推荐