제어로봇시스템학회:학술대회논문집
- 2002.10a
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- Pages.96.2-96
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- 2002
A New Adaptive Image Separation Scheme using ICA and Innovation Process with EM
- Kim, Sung-Soo (Chungbuk Nat'1 Univ.) ;
- Ryu, Jeong-Woong (Chungbuk Nat'1 Univ.) ;
- Oh, Bum-Jin (Chungbuk Nat'1 Univ.)
- Published : 2002.10.01
Abstract
In this paper, a new method for the mixed image separation is presented using the independent component analysis, the innovation process, and the expectation-maximization. In general, the independent component analysis (ICA) is one of the widely used statistical signal processing scheme that represents the information from observations as a set of random variables in the form of linear combinations of another statistically independent component variables. In various useful applications, ICA provides a more meaningful representation of the data than the principal component analysis through the transformation of the data to be quasi-orthogonal to each other, which can be utilized in linear p...
Keywords