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Maximum-likelihood estimation of delta-domain model parameters from noisy output signals

By V. Kadirkamanathan and S.R. Anderson

Abstract

Fast sampling is desirable to describe signal transmission\ud through wide-bandwidth systems. The delta-operator provides an ideal discrete-time modeling description for such fast-sampled systems. However, the estimation of delta-domain model parameters is usually biased by directly applying the delta-transformations to a sampled signal corrupted by additive measurement noise. This problem is solved here by expectation-maximization, where the delta-transformations of the true signal are estimated and then used to obtain the model parameters. The method is\ud demonstrated on a numerical example to improve on the accuracy of using a shift operator approach when the sample rate is fast

Publisher: IEEE
Year: 2008
OAI identifier: oai:eprints.whiterose.ac.uk:4462

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