lms_Adaptive_Equalizer
2016-08-23
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% Adaptive equalizer based on LMS algorithm.
%
% Rich Kozick, ELEC 470, Spring 1998
T = 1; % Bit period
tau = 3; % Time constant of channel
SNR = 100; % Ratio of signal power to noise power (NOT in dB)
dt = 0.01; % Sampling time in simulation
N = 250; % Number of training bits to generate
Ndata = 100; % Number of data bits to generate
clear t1 t2 c x y
% Create output pulse: rectangular pulse convolved with first-order
% low-pass filter impulse response.
%
% Rich Kozick, ELEC 470, Spring 1998
T = 1; % Bit period
tau = 3; % Time constant of channel
SNR = 100; % Ratio of signal power to noise power (NOT in dB)
dt = 0.01; % Sampling time in simulation
N = 250; % Number of training bits to generate
Ndata = 100; % Number of data bits to generate
clear t1 t2 c x y
% Create output pulse: rectangular pulse convolved with first-order
% low-pass filter impulse response.
matlab
lmsadaptiveequalizer
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