Solving Rician Data Analysis Problems: Theory and Numerical Modeling Using Computer Algebra Methods in Wolfram Mathematica
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Published:2024-04
Issue:2
Volume:50
Page:208-213
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ISSN:0361-7688
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Container-title:Programming and Computer Software
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language:en
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Short-container-title:Program Comput Soft
Publisher
Pleiades Publishing Ltd
Reference10 articles.
1. Rice, S.O., Mathematical analysis of random noise, Bell Syst. Technol. J., 1944, vol. 23, p. 282. 2. Benedict, T.R. and Soong, T.T., The joint estimation of signal and noise from the sum envelope, IEEE Trans. Inf. Theor., 1967, vol. IT-13, no. 3, pp. 447–454. 3. Talukdar, K.K. and Lawing, W.D., Estimation of the parameters of Rice distribution, J. Acoust. Soc. Am., 1991, vol. 89, no. 3, pp. 1193–1197. 4. Sijbers, J., den Dekker, A.J., Scheunders, P., and van Dyck, D., Maximum-likelihood estimation of Rician distribution parameters, IEEE Trans. Med. Imaging, 1998, vol. 17, no. 3, pp. 357–361. 5. Yakovleva, T.V., A Theory of Signal Processing at the Rice Distribution, Moscow: Dorodnicyn Computing Centre, RAS, 2015.
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