This paper is concerned with the estimation of steganographic capacity in digital images, using information theoretic bounds and very large-scale experiments to approximate the dis...
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...
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...
The compensated Horner algorithm improves the accuracy of polynomial evaluation in IEEE-754 floating point arithmetic: the computed result is as accurate as if it was computed wi...
Characterizing setup/hold times of latches and registers, a crucial component for achieving timing closure of large digital designs, typically occupies months of computation in in...