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- W2072128532 abstract "The problem of estimating the amplitude spectrum of a signal is of interest in a number of applications ranging from radar imaging to time-series analysis. The so-called adaptive filterbank-based nonparametric spectral estimators have recently received renewed interest as potential solutions to this problem. In essence, the adaptive filterbank methods determine an estimate of the spectrum for a frequency of interest by computing a finite impulse response filter according to a certain criterion and fitting a sinusoid to the filtered data sequence. In this paper, we first analyze the asymptotic estimation accuracy of the amplitude spectrum for various filterbank estimators. Next, we propose a new adaptive filterbank estimator based on a minimum mean square error criterion. Numerical examples indicate that the new estimator can have a better resolution capability than previously known filterbank estimators." @default.
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- W2072128532 date "2002-12-01" @default.
- W2072128532 modified "2023-09-25" @default.
- W2072128532 title "Spectral estimation via adaptive filterbank methods: a unified analysis and a new algorithm" @default.
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- W2072128532 doi "https://doi.org/10.1016/s0165-1684(02)00383-3" @default.
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