Abstract
Various algorithms for spectral estimation were compared for the task of estimating spectra of NMR signals. These algorithms were the fast Fourier transform, maximum entropy, and an autoregressive model. Both simulated and real data were investigated. The simulated radio frequency (rf) data was designed to mimic data from the human liver using 31P NMR spectroscopy. All algorithms exhibited similar bias and variance of estimates in the simulation. Data from a solution containing water and ethanol was also acquired. Here, the FFT and autoregressive methods exhibited similar bias and variance. Investigations involving maximum entropy are currently underway.© (1992) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
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