作者: V. Venugopal , E. Foufoula-Georgiou
DOI: 10.1016/S0022-1694(96)03084-3
关键词: Wavelet 、 Energy (signal processing) 、 Scale (ratio) 、 Measure (mathematics) 、 Time–frequency analysis 、 Mathematics 、 Wavelet packet decomposition 、 Algorithm 、 Statistics 、 Model building 、 Representation (mathematics) 、 Water Science and Technology
摘要: Abstract The time-frequency-scale features of high-resolution rainfall are investigated in an effort to gain more insight into the rainfall-generating mechanism. In particular, we look for existence persistent and short-lived structures their associated frequencies time (length) scales, as well energy they carry. We try achieve this objective via wavelet packet representation. best representation a signal from point view minimum entropy (i.e. maximum information few coefficients) is obtained, and, process, define two measures: (1) basis spectrum, which analogous well-known Fourier spectrum; (2) frequency persistence new measure, essence gives idea what scale has been chosen represent particular frequency; thus localization that time, whether or short lived, known. discuss implications our analysis separating stratiform convective components rain gaining cascading mechanism purpose model building.