2017
DOI: 10.1080/10652469.2017.1381091
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Partial order generalized Marcum Q-function contour integral representation

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Cited by 7 publications
(9 citation statements)
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“…Though being exemplary research with a very high possible impact in various areas, it did not have any further elaboration. Moreover, independently of this work, this definition was revitalized in [41], that used a contour-integral approach proposed in [16] to analytically solve the problem of the average bit/symbol error rate calculation in the presence of fading, thus extending the results proposed in [26]. Since the approach in [16] (assumed herein) relies on a more general formulation, the Gaussian Q-function used in [26] is only a specific limiting case of a more general Marcum Q-function (used in [16] and herein); the presented results cannot be deduced from [26], and thus can be assumed as its generalization that expands the initial methodology.…”
Section: Discussion and Further Generalizationmentioning
confidence: 99%
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“…Though being exemplary research with a very high possible impact in various areas, it did not have any further elaboration. Moreover, independently of this work, this definition was revitalized in [41], that used a contour-integral approach proposed in [16] to analytically solve the problem of the average bit/symbol error rate calculation in the presence of fading, thus extending the results proposed in [26]. Since the approach in [16] (assumed herein) relies on a more general formulation, the Gaussian Q-function used in [26] is only a specific limiting case of a more general Marcum Q-function (used in [16] and herein); the presented results cannot be deduced from [26], and thus can be assumed as its generalization that expands the initial methodology.…”
Section: Discussion and Further Generalizationmentioning
confidence: 99%
“…Despite not being directly implemented in modern software packages (such as Matlab, Mathematica, Maple, etc. ), their computation (efficiently performed by numerical calculation of the inverse Laplace transform, for example, exhaustively discussed in [47][48][49][50]), including truncation errors, and the required number of summands and achievable computational gain (relative to the numeric integration) are frequently discussed in the literature (see, for instance, [16,28,32,51,52]).…”
Section: Discussion and Further Generalizationmentioning
confidence: 99%
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