Application of Recurrent Wavelet Neural Networks to the Digital Communications Channel Blind Equaliz

• 作 者: HeShichun HeZhenya
• 机 构: DepartmentofRadioEngineeringSoutheastUniversity,DepartmentofRadioEngineeringSoutheastUn
• 出 处: 通信学报
• 发表日期: 1997年3期
• 关键词: 神经网络 数字通信 非线性信道 符号间干扰 盲道均衡

This paper investigates the application of a Recurrent Wavelet Neural Network(RWNN)to the blind equalization of nonlinear communication channels.In contrast to the wavelet networks introduced in,the RWNN is well suited for use in real time adaptive signal