Simulation of self similar random processes and its parameters estimation

An estimator of the self-similarity parameter for certain classes of random processes is presented. Simulation of synthetic data is also treated. The estimator was implemented for both the case 1D and 2D, verifying a high linearity and robustness in the estimation. Finally potential application from...

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Guardado en:
Detalles Bibliográficos
Autores principales: Hamkalo, José Luis, Medina, Juan Miguel, Mailing, Agustin, Dobarro, Fernando, Fernández, Damián, Cernuschi-Frías, Bruno
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2021
Materias:
Ciencias Informáticas
Estimator
fractal
SAR images
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/141279
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
Descripción
Sumario:An estimator of the self-similarity parameter for certain classes of random processes is presented. Simulation of synthetic data is also treated. The estimator was implemented for both the case 1D and 2D, verifying a high linearity and robustness in the estimation. Finally potential application from real world images such SAR images are also discussed.

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