Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The authors study delay estimation in a very general framework: multiple sources, correlated noises, nonstationary random signals, and varying delays. The optimal maximum likelihood (ML) delay estimator is derived; its performance via the Cramer-Rao inequality is analyzed; and it is tested by experimentation with synthetic data. The present time-varying delay estimator extends to the nonstationary/multisource environment the estimators of L.C. Ng and Y. Bar-Shalom (1986), L.R. Kirlin and L.A. Dey (1985), and C.H. Knapp and G.C. Carter (1976). Hover, the present receiver significantly departs from the correlator structures of those authors. >
['I.M.G. Lourtie', 'José M. F. Moura']
I am writing a research paper on a idea Multisource delay estimation: nonstationary signals (underwater acoustics)
[{"from": "human", "value": "I am writing a research paper on a idea Multisource delay estimation: nonstationary signals (underwater acoustics)"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The authors study delay estimation in a very general framework: multiple sources, correlated noises, nonstationary random signals, and varying delays. The optimal maximum likelihood (ML) delay estimator is derived; its performance via the Cramer-Rao inequality is analyzed; and it is tested by experimentation with synthetic data. The present time-varying delay estimator extends to the nonstationary/multisource environment the estimators of L.C. Ng and Y. Bar-Shalom (1986), L.R. Kirlin and L.A. Dey (1985), and C.H. Knapp and G.C. Carter (1976). Hover, the present receiver significantly departs from the correlator structures of those authors. >"}]