摘要
A new nonlinear decision feedback adaptive equalizer based on Adaline neural network and radial-basis-function neural network is presented. Its structure and algorithm are also investigated. For a typical linear and non-linear channel models, computer simulation shows that its convergence speed is faster and its stable mean square erroris less.
A new nonlinear decision feedback adaptive equalizer based on Adaline neural network and radial-basis-function neural network is presented. Its structure and algorithm are also investigated. For a typical linear and nonlinear channel models, computer simulation shows that its convergence speed is faster and its stable mean square error is less.
出处
《计算机科学》
CSCD
北大核心
2003年第7期152-153,共2页
Computer Science
基金
陕西省自然科学基金(2000SL02)
