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- W2144774069 abstract "We use an asymptotic integral approximation of a wavelet transform as a model for the estimation of instantaneous frequency (IF). Our approach allows the calculation of the Cramer-Rao bound for the IF variance at each time directly, without the need for explicit phase parameterization. This is in contrast to other approaches where the Cramer-Rao bounds rely on a preliminary decomposition of the IF with respect to a (usually polynomial) basis. Attention is confined to the Morlet wavelet transform of single-component signals corrupted with additive Gaussian noise. Potential computationally and statistically efficient IF extraction algorithms suggested by the analysis are also discussed." @default.
- W2144774069 created "2016-06-24" @default.
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- W2144774069 date "2003-06-01" @default.
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- W2144774069 title "Cramer-rao bounds for wavelet transform-based instantaneous frequency estimates" @default.
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- W2144774069 doi "https://doi.org/10.1109/tsp.2003.811231" @default.
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