| SOLUTION OF ASSIGNING BINARY INDEXES TO CODEVECTORS BY A KIND OF HOPFIELD NEURAL NETWORK |
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| 作者姓名： | Lin Jiayu |
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| 作者单位： | Lin Jiayu
(Key Lab. on ISN，Xidian University，Xi'an 710071) (School of Electron. Sci. and Eng.，National Uni. of Defence Tech.，Changsha 410073) |
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| 摘 要： | A method of assigning binary indexes to codevectors in vector quantization (VQ) system, which is called pseudo-Gray coding, is presented in this paper by constructing a kind of Hopfield neural network. Pseudo-Gray coding belongs to joint source/channel coding, which could provide a redundancy-free error protection scheme for VQ of analog signals when the binary indexes of signal codevectors are used as channel symbols on a discrete memoryless channel. Since pseudo-Gray coding is of combinatorial optimization problems which are NP-complete problems, globally optimal solutions are generally impossible. Thus, a kind of Hopfield neural network is used by constructing suitable energy function to get sub-optimal solutions. This kind of Hopfield neural network is easily modified to solve simplified version of pseudo-Gray coding for single-bit-error channel model. Simulating experimental results show that the method introduced here could offer good performances.
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| 收稿时间： | 6 March 2006 |
Solution of assigning binary indexes to codevectors by a kind of hopfield neural network |
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| Lin Jiayu.SOLUTION OF ASSIGNING BINARY INDEXES TO CODEVECTORS BY A KIND OF HOPFIELD NEURAL NETWORK[J].Journal of Electronics,2001,18(1):79-88. |
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| Authors: | Jiayu Lin |
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| Affiliation: | Key Lab. on ISN, Xidian University, Xi'an 710071School of Electron. Sci. and Eng., National Uni. of Defence Tech., Changsha 410073 |
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| Abstract: | A method of assigning binary indexes to codevectors in vector quantization (VQ) system, which is called pseudo-Gray coding, is presented in this paper by constructing a kind of Hopfield neural network. Pseudo-Gray coding belongs to joint source/channel coding, which could provide a redundancy-free error protection scheme for VQ of analog signals when the binary indexes of signal codevectors are used as channel symbols on a discrete memoryless channel. Since pseudo-Gray coding is of combinatorial optimization problems which are NP-complete problems, globally optimal solutions are generally impossible. Thus, a kind of Hopfield neural network is used by constructing suitable energy function to get sub-optimal solutions. This kind of Hopfield neural network is easily modified to solve simplified version of pseudo-Gray coding for single-bit-error channel model. Simulating experimental results show that the method introduced here could offer good performances. |
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| Keywords: | Joint source/channel coding Pseudo-Gray coding Hopfield neural network Neural network application |
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