We propose an algorithm for the binarization of document images degraded by uneven light distribution, based on the Markov Random Field modeling with Maximum A Posteriori probabil...
In this paper, a variance constrained filtering problem is considered for systems with both non-Gaussian noises and polytopic uncertainty. A novel filter is developed to estimate t...
This work proposes a simple approximation scheme for discrete data that leads to an infinitely smooth result without global optimization. It combines the flexibility of Binary Sp...
Marcos Lage, Alex Laier Bordignon, Fabiano Petrone...
Finite impulse response (FIR) structures are the most commonly used digital filters and can be found in various areas of everyday life. In this paper we introduce a novel approac...
Abstract: An original technique to transform functional representation of the design into a structural representation in form of a data flow graph (DFG) is described. A canonical,...
Maciej J. Ciesielski, Serkan Askar, Daniel Gomez-P...