| 摘要: |
| 基于非线性理论的通信信号处理一直是信号处理领域的热点研究问题。细胞神经网络(CNN)作为最易于VLSI实现的一类神经网络 ,是非线性理论的一个重要研究方向 ,近年来在通信信号处理领域取得了许多重要进展。文中主要介绍了细胞神经网络的基本理论、结构及其在通信信号处理中的研究进展 ,并指出其今后在通信信号处理中的进一步研究方向 |
| 关键词: 细胞神经网络,通信信号处理,应用,发展 |
| DOI：10.3969/j.issn.1001-893X. |
| 修订日期：2002-11-12 |
| 基金项目:国家 8 63计划资助课题 (2 0 0 1AA1360 30 ) |
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| Cellular Neural Network and its Application in Communication Signal Processing |
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| Abstract: |
| Communication signal processing based on non-linear theory is attractive in community of signal processing. Cellular Neural Network (CNN) is an important branch of non-linear theory and an application-oriented artificial neural network. In recent years, many important advances based on CNN have been developed in communication signal processing field. In this paper,the authors mainly introduce the basic model of CNN, structure and the latest progresses in research, and then point out the future development. |
| Key words: Cellular Neural Network (CNN),Communication signal processing,Applicatiou,Development |
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