An Advanced Estimation Algorithm for Ground‐Motion Models with Spatial Correlation
نویسندگان
چکیده
منابع مشابه
An Advanced Zonal Block Based Algorithm for Motion Estimation
Efficient motion estimation is very important for compressing video in standards like MPEG1/2/4 and ITU-T H.261/263. In this paper a new algorithm will be presented which can outperform most of the traditional fast motion estimation algorithms in both speed and quality. In addition, in some cases this algorithm can achieve even better visual quality, than the “optimal” but computational intensi...
متن کاملAn Advanced Center Biased Search Algorithm for Motion Estimation
Recent studies show that the motion vector distribution within the search window shows a center biased behavior. Based on this fact, an advanced center biased search algorithm for fast block motion estimation has been proposed in this paper. The algorithm drastically reduces the computational complexity by strict application of the Unimodal Error Surface Assumption. Improved error performance h...
متن کاملA comparison of algorithms for maximum likelihood estimation of Spatial GLM models
In spatial generalized linear mixed models, spatial correlation is assumed by adding normal latent variables to the model. In these models because of the non-Gaussian spatial response and the presence of latent variables the likelihood function cannot usually be given in a closed form, thus the maximum likelihood approach is very challenging. The main purpose of this paper is to introduce two n...
متن کاملParameter Estimation in Spatial Generalized Linear Mixed Models with Skew Gaussian Random Effects using Laplace Approximation
Spatial generalized linear mixed models are used commonly for modelling non-Gaussian discrete spatial responses. We present an algorithm for parameter estimation of the models using Laplace approximation of likelihood function. In these models, the spatial correlation structure of data is carried out by random effects or latent variables. In most spatial analysis, it is assumed that rando...
متن کاملA vectorized algorithm for correlation dimension estimation
We present an algorithm for the efficient and reliable computation of the Grassberger-Procaccia correlation dimension in cases where the correlation integral is constructed using all pairs of points. This algorithm is explicitly designed for modem super-scalar processors. 0 Published by Elsevier Science B.V. PACS: 89.80. + h; 05.45. + b
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bulletin of the Seismological Society of America
سال: 2019
ISSN: 0037-1106,1943-3573
DOI: 10.1785/0120180215