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细胞神经网在通信系统中的应用
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2009-06-20
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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。
关键词：细胞神经网（CNN）；通信系统；非线性模拟电路
Abstract：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 application in the communication system, including signal processing and its
hardware implementation, chaos communication and the optimization problems for communication networks.
Key words: Cellular neural network(CNN)；Communication system；Nonlinear analog circuit
关键词：细胞神经网（CNN）；通信系统；非线性模拟电路
Abstract：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 application in the communication system, including signal processing and its
hardware implementation, chaos communication and the optimization problems for communication networks.
Key words: Cellular neural network(CNN)；Communication system；Nonlinear analog circuit
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