A kind of image associative memory based on noise-like chaotic coding

Yu Qunming; Wang Yaonan; Chen Jiguang

Volume 24 Issue 6

Jun. 2002

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Yu Qunming, Wang Yaonan, Chen Jiguang. A kind of image associative memory based on noise-like chaotic coding[J]. Journal of Electronics & Information Technology, 2002, 24(6): 805-810.

Citation:

Yu Qunming, Wang Yaonan, Chen Jiguang. A kind of image associative memory based on noise-like chaotic coding[J]. Journal of Electronics & Information Technology, 2002, 24(6): 805-810.

Yu Qunming, Wang Yaonan, Chen Jiguang. A kind of image associative memory based on noise-like chaotic coding[J]. Journal of Electronics & Information Technology, 2002, 24(6): 805-810.

Citation:

Yu Qunming, Wang Yaonan, Chen Jiguang. A kind of image associative memory based on noise-like chaotic coding[J]. Journal of Electronics & Information Technology, 2002, 24(6): 805-810.

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A kind of image associative memory based on noise-like chaotic coding

Yu Qunming^{①;王耀南},
Wang Yaonan,
Chen Jiguang

Received Date: 2000-08-23
Rev Recd Date: 2001-01-04
Publish Date: 2002-06-19

Abstract

Abstract

A general methodology of key-generation of noise-like by use of chaotic process of tent-map function is described in this paper, a mathematics model of noise-like chaotic coding memory is constructed, meanwhile the basic mechanism of circulant convolution and circulant correlation in image information storage and retrieval is demonstrated. Simulation experiments show that image can be correctly recalled from single-pattern and double-pattern of noise-like chaotic coding by use of circulant convolution and circulant correlation operation, and there is a displacement between the last recalled image and the prototype image.

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References

S.I. Amari, Characteristics of random nets of analog neuron-like elements, IEEE Trans. on Systems, Man, and Cybernetics, 1972, 2(5), 643-657.[2]J.J. Hopfield, Neural networks and physical systems with emergent collective computational abilities, Proc. of the National Academy of Science (USA). 1982, 79, 2554 2558. ［3］D.J. Willshaw, Holography, Associative Memory, and Inductive Generalization, G. E. Hinton, J. A. Anderson (Eds.), 1989, 103-124.[3]S. Bottini, An algebraic model of an associative noise-like coding memory.[J]. Biological Cybernetics.1980,36:221-[4]T., Kohonen, M. Ruhonen, Representation of associated data by matrix operations, IEEE Trans.on Computers, 1973, C-Z2, 701-702.[5]B. Kosko, Bidirectional associative memories, IEEE Trans. on Systems, Man, and Cybernetics,1988, 18(1), 49-60.[6]王东生,曹磊,混沌、分形及其应用,合肥,中国科学技术大学出版社,1995,第二章[7]陈士华,陆君安,混沌动力学初步,武汉,武汉水利电力大学出版社,1998,第二章.[8]D. Gabor, Associative holographic memories.[J]. IBM Journal of Research and Development.1969,13:156-[9]A. Borsellino, T. Poggio, Convolution and correlation algebraic, Kybernet ik, 1973, 10, 113-122.[10]楼顺天,李博菡,基于MATLAB的系统分析与设计-信号处理,西安,西安电子科技大学出版社,1998,第一章[11]张彦仲,沈乃汉,快速傅里叶变换及沃尔什变换,北京,航空工业出版社,1989,第三章.

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