Tiscareno Matthew S, Hedman Matthew M
Carl Sagan Center for the Study of Life in the Universe, SETI Institute, 189 Bernardo Avenue no. 200, Mountain View, CA 94043, USA
Department of Physics, University of Idaho, Moscow, ID 83844, USA.
Philos Trans A Math Phys Eng Sci. 2018 Aug 13;376(2126). doi: 10.1098/rsta.2018.0046.
Spiral waves propagating in Saturn's rings have wavelengths that vary with radial position within the disc. The best-quality observations of these waves have the form of radial profiles centred on a particular azimuth. In that context, the wavelength of a given spiral wave is seen to change substantially with position along the one-dimensional profile. In this paper, we review the use of Morlet wavelet analysis to understand these waves. When signal to noise is high and the cause of the wave is well understood, wavelet analysis has been used to solve for wave parameters that are diagnostic of local disc properties. Waves that are not readily perceptible in the spatial domain signal can be clearly identified. Furthermore, filtering in wavelet space, followed by the reverse wavelet transform, has been used to isolate the part of the signal that is of interest. When the cause of the wave is not known, comparing the phases of the complex-valued wavelet transforms from many profiles has been used to determine wave parameters that cannot be determined from any single profile. When signal to noise is low, co-adding wavelet transforms while manipulating the phase has been used to boost a wave's signal above detection limits.This article is part of the theme issue 'Redundancy rules: the continuous wavelet transform comes of age'.
在土星环中传播的螺旋波,其波长会随着圆盘内的径向位置而变化。对这些波的最佳观测结果呈现为以特定方位角为中心的径向剖面图。在这种情况下,可以看到给定螺旋波的波长会沿着一维剖面图随位置发生显著变化。在本文中,我们回顾了使用莫雷小波分析来理解这些波的情况。当信噪比很高且波的成因已被充分理解时,小波分析已被用于求解能够诊断局部圆盘特性的波参数。在空间域信号中不易察觉的波能够被清晰识别。此外,在小波空间进行滤波,然后进行逆小波变换,已被用于分离出感兴趣的信号部分。当波的成因未知时,比较来自多个剖面图的复值小波变换的相位,已被用于确定无法从任何单个剖面图中确定的波参数。当信噪比很低时,在操纵相位的同时对小波变换进行叠加,已被用于将波的信号增强到检测限以上。本文是主题为“冗余规则:连续小波变换走向成熟”的一部分。