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On the performance of a novel nonlinear least squares frequency estimator

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Dilaveroğlu, Erdoğan

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Çetin, A. E.
Akarun, L.
Ertüzün, A.
Gürcan, M. N.
Yardımcı, Y.

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Bogazici University

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Abstract

A novel nonlinear least squares frequency estimation method which uses only a one-dimensional search routine has been recently proposed in [1]. In this paper, the variance of the estimator is analyzed at high signal-to-noise ratios. An analytical expression for the variance is derived. The dependence of the variance on the signal-to-noise ratio, the number of data partitions, the length of each partition and the frequency separation is investigated. Monte-Carlo simulation results are given to verify the analytical expression.

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Bu çalışma, 20-23 Haziran 1999 tarihleri arasında Antalya[Türkiye]'de düzenlenen IEEE-EURASIP Workshop on Nonlinear Signal and Image Prcessing (NSIP 99)'de bildiri olarak sunulmuştur.

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Computer science, Engineering, Imaging science & photographic technology, Resolution

Citation

Dilaveroğlu, E. (1999). "On the performance of a novel nonlinear least squares frequency estimator". ed. Çetin A. E. Proceedings of the IEEE - EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 632-635.

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