Accurate estimation of closely spaced, real, decaying exponentials in noise

The problem of estimating the time constants of real, decaying exponentials in noise is investigated. Specifically, algebraic characterization using singular value decomposition of the correlation matrix of the data is employed. An alternate, weighted minimum-norm solution, based on a Z-plane mapping, is introduced. Improvement of performance over the traditional minimum-norm solution is illustrated.