Reconstruction Error Estimation of Gaussian Markov Processes with Jitter

Jose Rodrigo Espinoza-Bautista, Daniel Rodriguez-Saldana, Vladimir Kazakov

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

Resumen

The reconstruction error estimation of the Gaussian Markov process in the presence of jitter is investigated in this paper, taking into account mainly two samples in the analysis. Two different situations are considered. In the first situation, the position of the first sample does not have jitter, but it exists in the second sample. In the second condition, the two samples have the presence of jitter. The probability density functions of jitter are represented by the uniform and the Erlang distributions. The results are obtained by applying statistical averaging to the conditional mean rule with respect to the random variable of jitter. This rule defines the conditional variance function as reconstruction error function, which allows us to determine the reconstruction error of the Gaussian Markov process on the whole time domain.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2015 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2015
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas236-240
Número de páginas5
ISBN (versión digital)9781467383288
DOI
EstadoPublicada - 2015
EventoInternational Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2015 - Cuernavaca, Morelos, México
Duración: 24 nov. 201527 nov. 2015

Serie de la publicación

NombreProceedings - 2015 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2015

Conferencia

ConferenciaInternational Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2015
País/TerritorioMéxico
CiudadCuernavaca, Morelos
Período24/11/1527/11/15

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