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|Type:||Artigo de evento|
|Title:||The Symmetrical η - κ Distribution|
|Abstract:||This paper specializes and parameterizes the general result presented elsewhere in the literature in order to propose, fully characterize, and investigate the Symmetrical η - κ Distribution. It yields estimators for the involved parameters and uses field measurements to validate the distribution. The Symmetrical η - κ Distribution includes, as special cases, important distributions such as Rayleigh, Rice, Hoyt, Nakagami-q, and One-Sided Gaussian. The fact that the Symmetrical η - κ Distribution has one more parameter than the well-known distributions renders it more flexible. Of course, in situations in which those distributions included in it give good results a better fitting is given by the Symmetrical η - κ Distribution. In addition, in many other situations in which these distributions give poor results a good fitting may be found through the Symmetrical η - κ Distribution. More specifically, its non-monomodal feature finds applications in several circumstances, examples of which are given in this paper.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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