Abstract: We propose a novel probabilistic method for detection of objects in noisy images. The method uses results from percolation and random graph theories. We present an algori...
Random coding arguments are the backbone of most channel capacity achievability proofs. In this paper, we show that in their standard form, such arguments are insufficient for pro...
Abstract-- We consider the problem of two transmitters wishing to exchange information through a relay in the middle. The channels between the transmitters and the relay are assume...
Makesh Pravin Wilson, Krishna R. Narayanan, Henry ...
Least squares (LS) fitting is one of the most fundamental techniques in science and engineering. It is used to estimate parameters from multiple noisy observations. In many probl...
The paper presents a new technique of image enhancement. The described algorithm enables the suppression of noise and contrast enhancement. The interesting feature of this new alg...
Bogdan Smolka, Konrad W. Wojciechowski, Marek Szcz...