| 光谱学与光谱分析 |
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| Simple Self-Correlative Algebraic Reconstruction Technique |
| SONG Yi-zhong1,2,HU Guo-ying3,HE An-zhi1 |
1. Department of Information Physics and Engineering, Science Institute, Nanjing University of Science and Technology, Nanjing 210094, China
2. Department of Physics, Dezhou University, Dezhou 253000, China
3. Institute of Science and Technology for Opto-electronic Information, Yantai University, Yantai 264000, China |
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Abstract A new improvement was brought forward in algebraic reconstruction technique (ART), named simple self-correlative algebraic reconstruction technique (SSCART), and its reconstructive result was discussed in detail. With numerical simulation technique, both ART and SSCART were numerically simulated with computer, and discussed in terms of simulated result and reconstructive accuracy with error indexes such as mean-square error (MSE), absolute value error (AVE) and peak error (PE). As a result, the accuracy of SSCART was markedly improved. Its MSE was decreased sixty-five percent compared to that of ART (the difference between MSE of ART and that of SSCART divided by the MSE of ART) at the level of 10-4 magnitude, and PE decreased ninety-nine point nine percent at the level of 10-2 magnitude. The iterating program of SSCART was not a new program to ART, but only a simple factor was added to. SSCART was considered a superior reconstruction technique with many good virtues such as simple iterating program, persistent convergent iterating process, and high reconstructive accuracy. It is the most superior iterating reconstruction technique in current ARTs to our knowledge.
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Received: 2005-05-12
Accepted: 2005-08-16
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Corresponding Authors:
SONG Yi-zhong
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| Cite this article: |
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SONG Yi-zhong,HU Guo-ying,HE An-zhi. Simple Self-Correlative Algebraic Reconstruction Technique[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26(12): 2364-2367.
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| URL: |
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https://www.gpxygpfx.com/EN/Y2006/V26/I12/2364 |
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