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• W2610388536 abstract "An approach to the spectral estimation for some classes of non-stationary random signals is developed, that addresses stationary random processes deformed by a stationarity-breaking transformation. Examples include frequency modulation, time warping, non-stationary filtering and others. Under suitable smoothness assumptions on the transformation, approximate expressions are obtained in adapted representation spaces. In the Gaussian case, this leads to approximate maximum likelihood estimation algorithms, which are illustrated on synthetic as well as real signals." @default.
• W2610388536 created "2017-05-12" @default.
• W2610388536 creator A5024845260 @default.
• W2610388536 creator A5029405091 @default.
• W2610388536 date "2017-07-01" @default.
• W2610388536 modified "2023-09-26" @default.
• W2610388536 title "Spectral estimation for non-stationary signal classes" @default.
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• W2610388536 doi "https://doi.org/10.1109/sampta.2017.8024367" @default.
• W2610388536 hasPublicationYear "2017" @default.
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