Filename
Size
Date
自适应均衡器
............\matlab代码
............\..........\ASP_Z_1_5_main.m
............\..........\binornd1.m
............\..........\lms_adeq.m
............\..........\ser.m
............\..........\ser_2.m
............\..........\ser_2_main.m
............\..........\ser_main.m
............\..........\Sig.m
............\..........\说明.txt
............\信道a
............\.....\LMS和最速下降法的学习曲线.fig
............\.....\LMS的学习曲线.fig
............\.....\均衡器权重.fig
............\.....\实际信号和估计信号的比较.fig
............\.....\理论图形.fig
............\.....\理论计算结果.txt
............\信道b
............\.....\改变步长(0.03 0.025 0.01)
............\.....\.........................\LMS和最速下降法的学习曲线.fig
............\.....\.........................\LMS的学习曲线.fig
............\.....\.........................\均衡器权重.fig
............\.....\.........................\实际信号和估计信号的比较.fig
............\.....\.........................\理论图形.fig
............\.....\.........................\理论计算结果.txt
............\.....\步长不改变的时候
mu_0.05训练有误
............\.....\................................\LMS算法和最速下降法的学习曲线.fig
............\.....\................................\LMS算法的学习曲线.fig
............\.....\................................\均衡器权重.fig
............\.....\................................\实际信号和估计信号的比较.fig
............\.....\................................\理论图形.fig
............\.....\................................\理论计算结果.txt
............\信道c
............\.....\LMS和最速下降法学习曲线50000次.fig
............\.....\LMS和最速下降法的学习曲线.fig
............\.....\LMS算法的学习曲线.fig
............\.....\LMS算法的学习曲线50000次.fig
............\.....\均衡器权重.fig
............\.....\实际信号和估计信号的比较.fig
............\.....\权重50000次.fig
............\.....\理论图形.fig
............\.....\理论计算结果.txt
............\误码率(20000次每0.5dB).fig
............\误码率(20000次每1dB).fig
............\误码率(20000次每2dB).fig
............\误码率(理论上的).fig
............\误码率(训练后的).fig
............\说明.txt