Name
Abstract | ||
|---|---|---|
Independent component analysis (ICA) is a statistical method for transforming an observable multi-dimensional random vector into components that are as statistically independent as possible from each other. Usually, the ICA framework assumes a model according to which the observations are generated (such as a linear transformation with additive noise). ICA over finite fields is a special case of I... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TIT.2015.2510657 | IEEE Transactions on Information Theory |
Keywords | Field | DocType |
Redundancy,Entropy,Source coding,Complexity theory,Independent component analysis | Branch and bound,Open problem,Theoretical computer science,Redundancy (engineering),Independent component analysis,Distributed source coding,Shannon–Fano coding,Factorial code,Mathematics,Variable-length code | Journal |
Volume | Issue | ISSN |
62 | 2 | 0018-9448 |
Citations | PageRank | References |
6 | 0.45 | 24 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amichai Painsky | 1 | 18 | 8.11 |
| Saharon Rosset | 2 | 1087 | 105.33 |
| Meir Feder | 3 | 809 | 174.02 |