摘要
提出一种基于概率神经网络的联合编码调制方法.该方法的复杂度及延时低于传统的联合编码调制,对信道差错更鲁棒.仿真结果显示这种联合编码调制方案得到的重建信噪比比传统的级联编码有明显的改善.
A new JSCCM scheme based on a probabilistic neural network is proposed. The complexity and delay in this system is less than the traditional one and it is more robust against channel errors. Simulation results demonstrate that the performance of the JSCCM is far better than that of the tandem coding modulation system.
出处
《应用科学学报》
CAS
CSCD
北大核心
2005年第1期108-110,共3页
Journal of Applied Sciences
基金
国家自然科学基金资助项目 (6 0 0 72 0 1 3 )
