細(xì)胞神經(jīng)網(wǎng)在通信系統(tǒng)中的應(yīng)用

細(xì)胞神經(jīng)網(wǎng)（CNN）是一種大規(guī)模非線性模擬電路。它的兩個(gè)重要特點(diǎn)是時(shí)間連續(xù)特性和局部連接特性，這使CNN 在數(shù)字領(lǐng)域能實(shí)現(xiàn)實(shí)時(shí)、高速、并行的信號(hào)處理，并特別適于大規(guī)模集成電路（VLSI）的實(shí)現(xiàn)。本文闡述了CNN 的結(jié)構(gòu)和特點(diǎn)，并介紹了CNN 在通信系統(tǒng)中的應(yīng)用，主要包括信號(hào)處理及其硬件實(shí)現(xiàn)、混沌通信和通信中的優(yōu)化問(wèn)題等方面。
關(guān)鍵詞：細(xì)胞神經(jīng)網(wǎng)（CNN）；通信系統(tǒng)；非線性模擬電路
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