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• W2193143412 abstract "The estimation of the frequencies of multiple superimposed exponentials in noise is an important research problem due to its various applications from engineering to chemistry. In this paper, we propose an efficient and accurate algorithm that estimates the frequency of each component iteratively and consecutively by combining an estimator with a leakage subtraction scheme. During the iterative process, the proposed method gradually reduces estimation error and improves the frequency estimation accuracy. We give theoretical analysis where we derive the theoretical bias and variance of the frequency estimates and discuss the convergence behaviour of the estimator. We show that the algorithm converges to the asymptotic fixed point where the estimation is asymptotically unbiased and the variance is just slightly above the Cramer-Rao lower bound. We then verify the theoretical results and estimation performance using extensive simulation. The simulation results show that the proposed algorithm is capable of obtaining more accurate estimates than state-of-art methods with only a few iterations." @default.
• W2193143412 created "2016-06-24" @default.
• W2193143412 creator A5003057050 @default.
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• W2193143412 date "2015-12-07" @default.
• W2193143412 modified "2023-09-27" @default.
• W2193143412 title "Efficient and Accurate Frequency Estimation of Multiple Superimposed Exponentials in Noise." @default.
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