摘要
细胞神经网(CNN)是一种大规模非线性模拟电路。它的两个重要特点是时间连续特性和局部连接特性,这使CNN在数字领域能实现实时、高速、并行的信号处理,并特别适于大规模集成电路(VLSI)的实现。本文阐述了CNN的结构和特点,并介绍了CNN在通信系统中的应用,主要包括信号处理及其硬件实现、混沌通信和通信中的优化问题等方面。
Cellular neural network （CNN）is a kind of large-scale nonlinear analog circuit. It shares two key features： its continuous time feature allows real-time and high-speed parallel signal processing in the digital domain and its local interconnection feature makes it tailor made for VLSI implementation. This paper describes the architecture and features of CNN and introduces its apphcation in the communication system, including signal processing and its hardware implementation, chaos communication and the optimization problems for communication networks.
出处
《微计算机信息》
北大核心
2006年第06X期39-41,共3页
Control & Automation
基金
广东省工业攻关项目(NO.2004A10502001
003049)
