A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical dist...
Abstract-- The capacity region of the two-user Gaussian Interference Channel (IC) is studied. Two classes of channels are considered: weak and mixed Gaussian IC. For the weak Gauss...
We investigate the use of hierarchical Gaussian shortlists to speed up Gaussian likelihood computation. This approach is a combination of hierarchical Gaussian selection and stand...
Abstract. We present a multi-scale approach for non-rigid image registration of tubular tree-like structures such as vessels. Therefore, we consider a Gaussian and a combined morph...
—This paper presents one of the outcomes of a research project concerned with the development of a method for synthesizing, under controlled conditions in the laboratory, the ran...
The performance of sparsely-connected associative memory models built from a set of perceptrons is investigated using different patterns of connectivity. Architectures based on Gau...
Oscillator phase noise (PN) in orthogonal frequency division multiplexing (OFDM) systems can cause severe performance degradation. In contrary to the assumptions made previously, r...
— We propose in this paper a simple receiver adapted to Multi User Interferences (MUI) in Impulse Radio Ultra Wide Band (IR-UWB). It is known that MUI distribution is not Gaussia...
— In this paper we investigate the error probability for OFDM with carrier frequency offset (CFO) in additive white Gaussian noise (AWGN) and Rayleigh fading channels. The statis...
We propose a learning method for gait synthesis from a sequence of shapes(frames) with the ability to extrapolate to novel data. It involves the application of PCA, first to redu...
Muayed Sattar Al-Huseiny, Sasan Mahmoodi, Mark Nix...