The main objective of this paper is to develop a method of removing noise from signal. This method is based on the radial-basis function networks and the principle of cross-validation in statistics. In this method, we detect noise by estimating the magnitude of validation error after training the network. Besides, this paper applies the concept of predictive coding to select data set from image when the proposed method used to deal with the noise removal problem of two-dimensional image signals. Finally, the proposed method has been employed to deal with noise removal problems of one-dimensional and two-dimensional signals. From the result of simulation, the proposed method could remove noise from signals effectively.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0801103-125450 |
| Date | 01 August 2003 |
| Creators | Zheng, Xiang-Ren |
| Contributors | Chen-Wen Yen, Inn-chyn Her, Yih-Tun Tseng |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801103-125450 |
| Rights | unrestricted, Copyright information available at source archive |
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