volume | PIER Journals

Abstract

Waves arise in many physical phenomena which have applications such as describing the voltage along a transmission line and medical imaging modality of elastography. In this paper, estimating the parameters for two forms of lossy wave equations, which correspond to multi-mode and multi-dimensional waves, are tackled. By exploiting the linear prediction property of the noise-free signals, an iterative quadratic maximum likelihood (IQML) approach is devised for accurate parameter estimation. Simulation results show that the estimation performance of the proposed IQML algorithms can attain the optimal benchmark, namely, Cramer-Rao lower bound, at sufficiently high signal-to-noise ratio and/or large data size conditions.

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Dr. Frankie Kit Wing Chan

Dr. Hing-Cheung So

Dr. Sze-Chun Chan

Dr. Ricky Wing Hong Lau

Dr. Stanley Cheung Fat Chan