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Using the copula theory, an accurate PDF estimate is obtained even when the desired signal is corrupted in a noisy environment. In the real world, the noise samples could be highly dependent on the main signal. Copula-based models are a general set of statistical models defined for any multivariate random variable. Thus, they depict the statistical behavior of a received signal including two dependent terms, representative of the desired signal and noise. Previous works in the Nakagami parameter determination have mainly examined estimation based on either a noiseless sample model or an independent trivial noisy one. In this paper, we consider a more comprehensive situation about the noise destruction and our investigation is done in low signal-to-noise ratios. The parametric bootstrap method approves the accuracy of the analytically estimated PDF, and simulation results show that the new estimator has superior performance over conventional estimators.<\/jats:p>","DOI":"10.1186\/1687-6180-2013-129","type":"journal-article","created":{"date-parts":[[2013,7,16]],"date-time":"2013-07-16T12:14:26Z","timestamp":1373976866000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Analytic Nakagami fading parameter estimation in dependent noise channel using copula"],"prefix":"10.1186","volume":"2013","author":[{"given":"Mohammad Hossein","family":"Gholizadeh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hamidreza","family":"Amindavar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"James A","family":"Ritcey","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2013,7,16]]},"reference":[{"key":"520_CR1","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/B978-0-08-009306-2.50005-4","volume-title":"Statistical Methods in Radio Wave Propagation","author":"M Nakagami","year":"1960","unstructured":"Nakagami M: The m-distribution: a general formula of intensity distribution of rapid fading. 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