Name
Title | ||
|---|---|---|
Multi-user pdf estimation based criteria for adaptive blind separation of discrete sources |
Abstract | ||
|---|---|---|
This paper deals with criteria for adaptive blind separation of discrete sources. The criteria are based on the estimation of the probability density function (pdf) of the recovered signal using a parametric model and the divergence of Kullback-Leibler to measure the similarities between the involved signals. Two strategies that guarantee the recovering of all sources are employed: the first one introduces a penalty when the sources are correlated and the second one constrains the filtering to an orthogonal global system response. Simulations are carried out to evaluate the performance of the criteria compared with existing blind methods in typical multi-user environments such as spatial and space-time processing. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1016/j.sigpro.2004.11.023 | Signal Processing |
Keywords | Field | DocType |
space-time processing,paper deal,parametric model,adaptive blind separation,pdf estimation,involved signal,blind source separation,typical multi-user environment,probability density function,constrained filtering,blind method,kullback-leibler divergence,orthogonal global system response,multi-user pdf estimation,discrete sources,discrete source,kullback leibler divergence,kullback leibler,space time | Mathematical optimization,Parametric model,Filter (signal processing),Algorithm,Speech recognition,Estimation theory,Blind signal separation,Probability density function,Signal reconstruction,Kullback–Leibler divergence,Mathematics,Source separation | Journal |
Volume | Issue | ISSN |
85 | 5 | Signal Processing |
Citations | PageRank | References |
4 | 0.51 | 12 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Charles Casimiro Cavalcante | 1 | 45 | 14.78 |
| João Marcos Travassos Romano | 2 | 175 | 27.76 |