Fast algorithms for exponential data modeling

A new fast algorithm is presented for quantifying signals modeled by a sum of exponentially damped sinusoids. The new algorithm is applied to the quantitative analysis of Nuclear Magnetic Resonance (NMR) data and is shown to be up to an order of magnitude more efficient than currently used linear prediction and state-space based methods.<<ETX>>