Optimal and suboptimal reconstruction of non Gaussian realizations on the output of non linear converters

Vladimir Kazakov, Yair Olvera

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Two algorithms of sampling reconstruction procedures of non Gaussian processes are investigated. The optimal algorithm is analyzed on the basis of the conditional mean rule and cumulant functions. In this case the error reconstruction function depends on the given samples and on the probability density function of the given process. The non optimal algorithm is only based on the covariance function of the output process. We investigate the non Gaussian processes on the output of exponential and polynomial converters driven by the Gaussian Markov process. Comparison of both algorithms is given.

Idioma originalInglés
Título de la publicación alojadaRecent Researches in Telecommunications, Informatics, Electronics and Signal Processing - TELE-INFO'11, MINO'11, SIP'11
Páginas59-64
Número de páginas6
EstadoPublicada - 2011
Evento10th WSEAS International Conf. on Telecommunications and Informatics, TELE-INFO'11, 10th WSEAS International Conference on Microelectronics, Nanoelectronics, Optoelectronics, MINO'11, 10th WSEAS International Conference on Signal Processing, SIP'11 - Lanzarote, Canary Islands, Espana
Duración: 27 may. 201129 may. 2011

Serie de la publicación

NombreRecent Researches in Telecommunications, Informatics, Electronics and Signal Processing - TELE-INFO'11, MINO'11, SIP'11

Conferencia

Conferencia10th WSEAS International Conf. on Telecommunications and Informatics, TELE-INFO'11, 10th WSEAS International Conference on Microelectronics, Nanoelectronics, Optoelectronics, MINO'11, 10th WSEAS International Conference on Signal Processing, SIP'11
País/TerritorioEspana
CiudadLanzarote, Canary Islands
Período27/05/1129/05/11

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