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Subspace-based parameter estimation of exponentially damped sinusoids using prior knowledge of frequency and phase
1997
Signal Processing
Subspace-based parameter estimators, like HTLS in nuclear magnetic resonance spectroscopy, are efficient and accurate in estimating parameters of a sum of exponentially damped sinusoids. But they suffer from a serious drawback that little prior knowledge can be incorporated which is important for the resolution and accuracy. Recently, one type of prior knowledge, known frequency and damping of some exponentials, has been successfully incorporated into HTLS. In this paper, another type of prior
doi:10.1016/s0165-1684(97)00085-6
fatcat:4mpwvfnrznfbhjzrzxs7mgv5vi