Name
Abstract | ||
|---|---|---|
Independent component analysis (ICA) is a statistical tool that decomposes an observed random vector into components that are as statistically independent as possible. ICA over finite fields is a special case of ICA, in which both the observations and the decomposed components take values over a finite alphabet. This problem is also known as minimal redundancy representation or factorial coding. I... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TSP.2018.2872006 | IEEE Transactions on Signal Processing |
Keywords | DocType | Volume |
Entropy,Redundancy,Two dimensional displays,Signal processing algorithms,Encoding,Complexity theory,Independent component analysis | Journal | 66 |
Issue | ISSN | Citations |
22 | 1053-587X | 1 |
PageRank | References | Authors |
0.35 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amichai Painsky | 1 | 18 | 8.11 |
| Saharon Rosset | 2 | 1087 | 105.33 |
| Meir Feder | 3 | 809 | 174.02 |