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» Fractional Component Analysis (FCA) for Mixed Signals
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ICA
2007
Springer
14 years 1 months ago
On Separation of Signal Sources Using Kernel Estimates of Probability Densities
The discussion in this paper revolves around the notion of separation problems. The latter can be thought of as a unifying concept which includes a variety of important problems in...
Oleg V. Michailovich, Douglas Wiens
PAMI
2010
168views more  PAMI 2010»
13 years 5 months ago
Nonnegative Least-Correlated Component Analysis for Separation of Dependent Sources by Volume Maximization
—Although significant efforts have been made in developing nonnegative blind source separation techniques, accurate separation of positive yet dependent sources remains a challen...
Fa-Yu Wang, Chong-Yung Chi, Tsung-Han Chan, Yue Wa...
ICA
2010
Springer
13 years 8 months ago
Adaptive Underdetermined ICA for Handling an Unknown Number of Sources
Independent Component Analysis is the best known method for solving blind source separation problems. In general, the number of sources must be known in advance. In many cases, pre...
Andreas Sandmair, Alam Zaib, Fernando Puente Le&oa...
ICASSP
2011
IEEE
12 years 11 months ago
Separation and tracking of multiple speakers in a reverberant environment using a multiple model particle filter glimpsing metho
In this paper, we explore the problem of separating and localizing multiple maneuvering speakers in a reverberant environment. Moreover, the speakers can become silent intermitten...
Alireza Masnadi-Shirazi, Bhaskar D. Rao
TIT
2002
146views more  TIT 2002»
13 years 7 months ago
Least squares estimation of 2-D sinusoids in colored noise: Asymptotic analysis
This paper considers the problem of estimating the parameters of real-valued two-dimensional (2-D) sinusoidal signals observed in colored noise. This problem is a special case of t...
Guy Cohen, Joseph M. Francos