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SOLUTION OF ASSIGNING BINARY INDEXES TO CODEVECTORS BY A KIND OF HOPFIELD NEURAL NETWORK
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作者 Lin Jiayu(Key Lab. on ISN, Xidian University, Xi’an 710071) (School of Electron. Sci. and Eng., National Uni. of Defence Tech., Changsha 410073) 《Journal of Electronics(China)》 2001年第1期79-88,共10页
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 codi... 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 Hop field 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. 展开更多
关键词 Joint source/channel CODING pseudo-gray CODING HOPFIELD NEURAL NETWORK NEURAL NETWORK application
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