Blind and non-blind source detection inWMAP5-yr maps

Blind and non-blind source detection in WMAP 5-year maps

We have analyzed the efficiency in source detection and flux density estimation of blind and non-blind detection techniques exploiting the MHW2 filter applied to the Wilkinson Microwave Anisotropy Probe (WMAP) 5-year maps. A comparison with the AT20G Bright Source Sample (Massardi et al. 2008), with a completeness limit of 0.5 Jy and accurate flux measurements at 20 GHz, close to the lowest fre...

Performance Comparison of Combined Blind/non-blind Source Separation Algorithms

Source separation is becoming increasingly important in acoustical applications for spatial filtering. In the absence of any known source signals (blind case), a blind update equation similar to the natural gradient method [1] is presented, a derivative of which can be used in the case of known references (non-blind case). If some, but not all, source signals are known, blind-only algorithms ar...

Blind and semi-blind source separation

Variational Gaussian mixtures for blind source detection

Bayesian algorithms have lately been used in a large variety of applications. This paper proposes a new methodology for hyperparameter initialization in the Variational Bayes (VB) algorithm. We employ a dual expectationmaximization (EM) algorithm as the initialization stage in the VB-based learning. In the first stage, the EM algorithm is used on the given data set while the second EM algorithm...

Exploiting Source Non Stationary and Coloration in Blind Source Separation

A new method for blind sources separation of instantaneous mixtures is developed. It exploits both the spectral and time and diversity of the sources and is based on the Gaussian mutual information. As a result, it uses only second order statistics and can be efficiently implemented through a joint diagonalization algorithm. Simulation result illustrates the good performance of the method.