The theory of compressive sampling involves making random linear projections of a signal. Provided signal is sparse in some basis, small number of such measurements preserves the ...
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...
Abstract— In this paper, we present a novel fair queue management algorithm called Stochastic RED (StoRED), inspired by the well known stochastic fair queuing and based on the ra...
We consider Independent Component Analysis (ICA) for the case of binary sources, where addition has the meaning of the boolean “Exclusive Or” (XOR) operation. Thus, each mixtur...
— In this paper, we analyze the effect of interference diversity on the capacity of a cellular system that employs frequency hopping, power control and bit-interleaved coded modu...