Abstract— We propose a low-complexity adaptive highresolution channel prediction algorithm for pilot symbol assisted orthogonal frequency division multiplexing (OFDM) systems. Th...
In recent years Bayes Least Squares - Gaussian scale mixtures (BLS-GSM) has emerged as one of the most powerful methods for image restoration. Its strength relies on providing a si...
Jose A. Guerrero-Colon, Luis Mancera, Javier Porti...
We develop a statistical model to describe the spatially varying behavior of local neighborhoods of coefficients in a multiscale image representation. Neighborhoods are modeled as ...
Abstract-- In this paper, we propose an adaptive linear approach for time series modeling and steam line leakage detection. Weighted recursive least squares (WRLS) method is used f...
In bioinformatics, biochemical signal pathways can be modeled by many differential equations. It is still an open problem how to fit the huge amount of parameters of the equations...