| Author/Editor | Naanaa, Wady; Nuzillard, Jean-Marc | |
| Title | A genetic algorithm for blind source separation of positive and partially correlated signals | |
| Type | članek | |
| Source | Image Anal Stereol | |
| Vol. and No. | Letnik 20, št. Suppl 1 | |
| Publication year | 2001 | |
| Volume | str. 281-6 | |
| Language | eng | |
| Abstract | Blind source separation (BSS) consists of processing a set of observed mixed signals to separate them into a set of unobserved components. Various approaches have been employed to solve BSS problems assuming that the source signals are mutually uncorrelated (or orthogonal). However, in many real-life problems, signal orthogonality is not guaranteed. This paper presents a new method for blind source separation that can be applied to positive and partially orthogonal signals. The BSS problem is transformed into a combinatorial optimization problem which is solved by means of a genetic algorithm (GA). The method has been successfully applied to many actual examples from NMR spectroscopy one of which is reported here. | |
| Descriptors | MAGNETIC RESONANCE IMAGING IMAGE PROCESSING, COMPUTER-ASSISTED |