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An efficient algorithm for estimating the parameters of superimposed exponential signals in multiplicative and additive noise
International Journal of Applied Mathematics and Computer Science, Tome 23 (2013) no. 1, pp. 117-129.

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This paper considers parameter estimation of superimposed exponential signals in multiplicative and additive noise which are all independent and identically distributed. A modified Newton–Raphson algorithm is used to estimate the frequencies of the considered model, which is further used to estimate other linear parameters. It is proved that the modified Newton–Raphson algorithm is robust and the corresponding estimators of frequencies attain the same convergence rate with Least Squares Estimators (LSEs) under the same noise conditions, but it outperforms LSEs in terms of the mean squared errors. Finally, the effectiveness of the algorithm is verified by some numerical experiments.
Keywords: superimposed exponential signals, modified Newton–Raphson algorithm, multiplicative noise, additive noise, least squares estimator
Mots-clés : algorytm Newtona-Raphsona, metoda najmniejszych kwadratów, estymator 
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Bian, J.; Peng, H.; Xing, J.; Liu, Z.; Li, H. An efficient algorithm for estimating the parameters of superimposed exponential signals in multiplicative and additive noise. International Journal of Applied Mathematics and Computer Science, Tome 23 (2013) no. 1, pp. 117-129. http://geodesic.mathdoc.fr/item/IJAMCS_2013_23_1_a9/

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