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Identification of dominant periods is a very important but difficult task in hydrologic time series data analysis. In this paper, for improving the results of periods' identification, a new method, called EEMD-MESA (ensemble empirical mode decomposition-maximum entropy spectral analysis), has been proposed, whose main idea is identifying the main intrinsic mode functions (MIMFs) in hydrologic series...
Determination of dominant periods is a frequently encountered problem in stochastic analysis of hydrologic series data. In this paper, for mining important information about periods in hydrologic system, new idea for estimating periods has been put forward. New method, MSSA (main series spectral analysis method), has been developed. It is to reconstruct the main frequency signals of the original series...
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