dc.creator | Yacoub, MD | |
dc.creator | Fraidenraich, G | |
dc.creator | Tercius, HB | |
dc.creator | Martins, FC | |
dc.date | 2005 | |
dc.date | DEC | |
dc.date | 2014-11-18T03:13:46Z | |
dc.date | 2015-11-26T17:45:46Z | |
dc.date | 2014-11-18T03:13:46Z | |
dc.date | 2015-11-26T17:45:46Z | |
dc.date.accessioned | 2018-03-29T00:28:11Z | |
dc.date.available | 2018-03-29T00:28:11Z | |
dc.identifier | Ieee Transactions On Broadcasting. Ieee-inst Electrical Electronics Engineers Inc, v. 51, n. 4, n. 504, n. 511, 2005. | |
dc.identifier | 0018-9316 | |
dc.identifier | WOS:000233442200009 | |
dc.identifier | 10.1109/TBC.2005.859240 | |
dc.identifier | http://www.repositorio.unicamp.br/jspui/handle/REPOSIP/72531 | |
dc.identifier | http://www.repositorio.unicamp.br/handle/REPOSIP/72531 | |
dc.identifier | http://repositorio.unicamp.br/jspui/handle/REPOSIP/72531 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1288285 | |
dc.description | This paper specializes and parameterizes the general result presented elsewhere in the literature in order to introduce, fully characterize, and investigate the Symmetrical eta-kappa Distribution, a general distribution used to describe the statistical variation of the envelope in a fast fading environment. It proposes estimators for the involved parameters and uses field measurements to validate the distribution. In spite of its specialization, the Symmetrical eta-kappa Distribution still includes, as special cases, important distributions such as Rayleigh, Rice, Hoyt, Nakagami-q, and One-Sided Gaussian. The fact that the Symmetrical eta-kappa. 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 eta-kappa. Distribution. In addition, in many other situations in which these distributions give poor results a good fitting may be found through the Symmetrical eta-kappa Distribution. More specifically, its nonmonomodal feature finds applications in several circumstances, examples of which are given in this paper. | |
dc.description | 51 | |
dc.description | 4 | |
dc.description | 504 | |
dc.description | 511 | |
dc.language | en | |
dc.publisher | Ieee-inst Electrical Electronics Engineers Inc | |
dc.publisher | Piscataway | |
dc.publisher | EUA | |
dc.relation | Ieee Transactions On Broadcasting | |
dc.relation | IEEE Trans. Broadcast. | |
dc.rights | fechado | |
dc.rights | http://www.ieee.org/publications_standards/publications/rights/rights_policies.html | |
dc.source | Web of Science | |
dc.subject | fast fading distributions | |
dc.subject | Hoyt distribution | |
dc.subject | one-sided Gaussian distribution | |
dc.subject | Rayleigh distribution | |
dc.subject | rice distribution | |
dc.subject | short-term fading | |
dc.subject | Indoor Environment | |
dc.subject | Theoretical-model | |
dc.subject | Radio Channel | |
dc.subject | Propagation | |
dc.subject | Prediction | |
dc.title | The symmetrical eta-kappa distribution: A general fading distribution | |
dc.type | Artículos de revistas | |