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- W1528629592 abstract "Singular spectrum analysis (SSA) is a reliable technique for separating an arbitrary signal from a noisy time series (signal+noise). The SSA technique is based upon two main selections: window length, L, and the number of the eigenvalues, r. These values play an important role for the reconstruction stage. In this paper, we introduce a new approach for selecting the optimal value of r, which is based on the distribution of the eigenvalues of a scaled Hankel matrix. The proposed approach is applied to a number of simulated and real data with different structures. The results indicate that the proposed approach has potential in selecting the value of r for signal extraction." @default.
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- W1528629592 date "1990-01-01" @default.
- W1528629592 modified "2023-10-18" @default.
- W1528629592 title "Petroleum rent collection around the world" @default.
- W1528629592 doi "https://doi.org/10.1016/0301-4215(90)90182-4" @default.
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