Name
Abstract | ||
|---|---|---|
An interesting and recent application of population-based metaheuristics resides in an unsupervised signal processing task: independent component analysis (ICA) over finite fields. Based on a state-of-the-art immune-inspired method, this work proposes a new ICA algorithm for finite fields of arbitrary order that employs mutation and local search operators specifically customized to the problem domain. The results obtained with the new technique indicate that the proposal is effective in performing component separation, and the analysis includes a preliminary study on image separation. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/CIMSIVP.2014.7013284 | Computational Intelligence for Multimedia, Signal and Vision Processing |
Keywords | Field | DocType |
Galois fields,independent component analysis,mathematical operators,search problems,signal processing,Galois fields,arbitrary order,cobICA,component separation,concentration-based algorithm,finite fields,image separation,immune-inspired algorithm,immune-inspired method,independent component analysis,local search operator,mutation operator,population-based metaheuristics,unsupervised signal processing task | Signal processing,Population,Finite field,Algorithm design,Problem domain,Algorithm,Independent component analysis,Local search (optimization),Mathematics,Metaheuristic | Conference |
Citations | PageRank | References |
1 | 0.36 | 15 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel G. Silva | 1 | 17 | 4.84 |
| Jugurta R. Montalvão Filho | 2 | 28 | 2.44 |
| Romis Attux | 3 | 95 | 22.67 |
| Montalvao, J. | 4 | 1 | 0.36 |