1. SIGNAL TO NOISE RATIO (SAMPLE ASSIGNMENT)
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Adaptive noise cancellation using LMS algorithm.
This sample assignment shows a single perceptron neural network..
noisecancel.m
close all;
clear all;clc;
t=1:0.025:5;
desired=5*sin(2*3.*t);
noise=5*sin(2*50*3.*t);
refer=5*sin(2*50*3.*t+ 3/20);
primary=desired+noise;
subplot(4,1,1);
plot(t,desired);
ylabel('desired');
subplot(4,1,2);
plot(t,refer);
ylabel('refer');
subplot(4,1,3);
plot(t,primary);
ylabel('primary');