Abstract-- We consider approximations of signals by the elements of a frame in a complex vector space of dimension N and formulate both the noiseless and the noisy sparse represent...
In this paper, the expectation-maximization (EM) algorithm for Gaussian mixture modeling is improved via three statistical tests. The first test is a multivariate normality criteri...
In this paper, we develop algorithms for distributed computation of averages of the node data over networks with bandwidth/power constraints or large volumes of data. Distributed ...
The most popular algorithms for blind equalization are the constant-modulus algorithm (CMA) and the ShalviWeinstein algorithm (SWA). It is well-known that SWA presents a higher co...
Maria D. Miranda, Magno T. M. Silva, Victor H. Nas...
Abstract-- This paper addresses the problem of tracking extended objects, such as ships or a convoy of vehicles moving in urban environment. Two Monte Carlo techniques for extended...