Mostrar el registro sencillo del ítem
dc.contributor.author | Reig Pascual, Juan Ribera | es_ES |
dc.date.accessioned | 2012-09-28T06:38:19Z | |
dc.date.available | 2012-09-28T06:38:19Z | |
dc.date.issued | 2012-09-28 | |
dc.identifier.uri | http://hdl.handle.net/10251/17280 | |
dc.description.abstract | This virtual lab shows the probability density function of the lognormal distribution in both linear (received field strenght in uV/m) and logarithmic units (received power in dBm). The lognormal distribution has been extensively used to model the shadowing amplitude distribution in wireless communication. Note that the lognormal distribution in logarithmic units corresponds to a Gaussian distribution. The objective is to analyze the dependence on the shape of the lognormal probability density function (PDF) with the shadowing standard deviation and to show the approximation of the experimental PDF to the analytical PDF in both linear and logarithmic units. The experimental distribution has been obtained using the Monte Carlo method. Obviosusly, higher the number of observation larger the fit between the analytical and experimental distributions. | es_ES |
dc.description.uri | https://laboratoriosvirtuales.upv.es/eslabon/lognormal_pdf | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Universitat Politècnica de València | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Wireless communications | es_ES |
dc.subject | Propagation | es_ES |
dc.subject | Shadowing | es_ES |
dc.subject | Lognormal distribution | es_ES |
dc.subject.classification | TEORIA DE LA SEÑAL Y COMUNICACIONES | es_ES |
dc.title | Lognormal probability density function in linear and logarithmic units | es_ES |
dc.type | Objeto de aprendizaje | |
dc.lom.learningResourceType | Laboratorio virtual de simulación | es_ES |
dc.lom.interactivityLevel | Alto | es_ES |
dc.lom.semanticDensity | Muy alto | es_ES |
dc.lom.intendedEndUserRole | Profesor | es_ES |
dc.lom.context | Postgrado | es_ES |
dc.lom.difficulty | Difícil | es_ES |
dc.lom.typicalLearningTime | 15 minutos | es_ES |
dc.lom.educationalDescription | Introduce the average power in dBm. Next, enter the standard deviation of the shadowing in dB. Then, the frequency in MHz and the antenna gain in dBi. Finally, enter the number of observations (sample size) lognormal distributed. | es_ES |
dc.lom.educationalLanguage | Inglés | es_ES |
dc.upv.convocatoriaDocenciaRed | 2011-2012 | es_ES |
dc.upv.ambito | PUBLICO | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació | es_ES |
dc.description.bibliographicCitation | Reig Pascual, JR. (2012). Lognormal probability density function in linear and logarithmic units. http://hdl.handle.net/10251/17280 | es_ES |