مقایسهٔ روش‌ها

	همبستگی موجک	تبدیل موجک مقطعی
حوزه	سری‌های زمانی	سری‌های زمانی
خانواده	Process / pipeline	Process / pipeline
سال پیدایش	1999	1998
پدیدآور	Christopher Torrence	Christopher Torrence
نوع	Multi-scale correlation and phase	Bivariate wavelet interaction
منبع بنیادین	Torrence, C., & Webster, P. J. (1999). Interdecadal changes in the ENSO–monsoon system. Journal of Climate, 12(8), 2679–2690.	Torrence, C., & Compo, G. P. (1998). A practical guide to wavelet analysis. Bulletin of the American Meteorological Society, 79(1), 61–78.
نام‌های دیگر	WTC, Wavelet coherency, Continuous wavelet coherence	XWT, Cross-spectrum wavelet
مرتبط	1	1
خلاصه	Wavelet coherence (WTC) is a normalized measure of correlation between two time series in the time-frequency domain, eliminating the amplitude-dependence of the raw cross-wavelet transform. Introduced by Torrence and Webster (1999) and formalized by Grinsted, Moore, and Jevrejeva (2004), WTC quantifies how tightly two signals are coupled at each time-frequency point, independent of their individual power levels. It is the wavelet analog of classical spectral coherence, revealing time-localized relationships across all frequencies.	The cross-wavelet transform (XWT) is a bivariate extension of the continuous wavelet transform that measures the joint time-frequency representation of two signals. Introduced by Torrence and Compo (1998) and applied extensively by Grinsted, Moore, and Jevrejeva (2004) to geophysical data, XWT reveals where two signals share common spectral power and the phase relationship between them at each time-frequency point. This is the natural generalization of classical cross-spectral analysis to the time-varying domain.