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- W2107831248 abstract "The variance of a spectral estimate of a stochastic process is essential to the formulation and performance of a spectral classifier. The overall variance of a spectral estimate originates from two sources: the within-class spectral uncertainty and the variance introduced in the spectral estimation procedure. In this paper, we derive the total variance of a periodogram-based spectral estimate under some assumptions. Using this result, we formulate a linear spectral classifier based on Fisher's separability metric. The classifier is used to classify two oceanographic processes: ocean convection versus internal waves." @default.
- W2107831248 created "2016-06-24" @default.
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- W2107831248 date "2005-12-01" @default.
- W2107831248 modified "2023-09-26" @default.
- W2107831248 title "The total variance of a periodogram-based spectral estimate of a stochastic process with spectral uncertainty and its application to classifier design" @default.
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- W2107831248 doi "https://doi.org/10.1109/tsp.2005.859346" @default.
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