Abstract
A new method for fitting composite exponential decay curves is described. The main feature of the method is the prior transformation of the data set, allowing a very significant reduction of the number of parameters to be estimated by a final nonlinear least-squares fit. No starting estimation of fitting parameters is required. Some criteria are discussed for an optimum choice in the number of exponential terms in the signal. Examples of application of the method to simulated data sets including pseudorandom errors are shown.
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