”Efficient Estimation of Decaying Sinusoids with Application in NMR Spectroscopy"
Martin Jälmby presents his Master’s thesis
In this thesis, the wideband SEMA (WSEMA) estimator is introduced. It combines two recently developed techniques, the wideband dictionary and the Sparse Exponential Mode Analysis (SEMA) to make for an efficient estimator. WSEMA estimates the parameters of decaying sinusoids, without a priori-information about the number of modes present in the signal. WSEMA works with arbitrary sampling schemes and is therefore compatible with sampling scheme optimization ideas presented recently. The suggested estimator is evaluated using both simulated data and real nuclear magnetic resonance (NMR) spectroscopy data. The results in this thesis suggests that WSEMA can be used to efficiently estimate the frequencies and dampings of multi-modal signals with minimum variance, although work remains concerning the handling of closely spaced peaks.
Decaying sinusoids, parametric methods, wideband dictionary, NMR spectroscopy