Abstract
The use of apodization functions in the numerical estimation of peak areas and NOE factors in NMR spectra is investigated. The formalism required in such studies is introduced and the effects of exponential and Gaussian apodization are analyzed. Two effects are found to be important, the bias due to the inability to perform an exact integration over the peak, and the effects of instrumental noise. A generalized variance which combines bias and noise in peak area measurements is used to demonstrate the superiority of the Gaussian apodization function over the exponential.
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