摘要
结合科研成果进课堂活动,利用Matlab软件中的Simulink模块设计了基于神经网络的数字信道盲算法仿真均衡实验。该实验以信号与系统课程中反卷积教学内容为切入点,将盲均衡算法的科研成果引入课堂教学。该文对盲均衡算法的原理和其与反卷积的关系进行了介绍,推导了状态方程,并给出了基于Simulink的算法仿真验证模型,最后对仿真结果进行了分析。教学实践证明,该实验促进了学生对反卷积知识和通信理论的理解。
According to the activity of scientific research achievements into classroom,a neural network blind equalization experiment is designed by using the Matlab/Simulink.The experiment takes the teaching content of deconvolution in Signal and System course as the breakthrough point,introduces the research result of blind equalization algorithm into classroom teaching.The principle of blind equalization and its relationship with deconvolution are introduced,the state equation is deduced,and the algorithm simulation model based on Simulink is given.Finally,the simulation results are analyzed.Teaching practice has proved that the experiment can promote the students to understand the deconvolution knowledge and digital communication theory.
出处
《实验技术与管理》
CAS
北大核心
2015年第1期116-119,共4页
Experimental Technology and Management
基金
天津市普通高等学校本科教学质量与教学改革研究计划项目(D02-0807)
