It is often thought that learning algorithms that track the best solution, as opposed to converging to it, are important only on nonstationary problems. We present three results s...
— Three new adaptive equalization algorithms for wireless systems operating over frequency selective MIMO channels are proposed. The problem of the MIMO DFE design is formulated ...
Vassilis Kekatos, Aris S. Lalos, Kostas Berberidis
This paper explores the mathematical and algorithmic properties of two sample-based microtexture models: random phase noise (RPN ) and asymptotic discrete spot noise (ADSN ). Thes...
This paper presents a novel approach to solve the constrained unit commitment problem using Selective Self-Adaptive Ant System (SSAS) for improving search performance by automatic...
The total variation-based image denoising model has been generalized and extended in numerous ways, improving its performance in different contexts. We propose a new penalty func...