plot using matlab Linear distortion image input Take an imago signal as your inp

Question

plot using matlab

Linear distortion image input Take an imago signal as your input, and examine the effect of linear distortion and zero-forcing filter based equalization. More specifically, consider y(t) = h (t) *x(t) + n(t), where h(t) = delta(t) + 0.5 delta (t - 1), and n(t) is the white Gaussian noise. You need to consider the cases where SNR = 10: 2: 24dB. For the equalization output, plot the MSE vs. SNR. In your presentation, show the results of distortion mid noise on your input signal with and without the equalizer.

Explanation / Answer

clc;
close all;
clear all;

t = 0:1:100;
[IMG2,map] = imread('lenna.jpg');
IMG1 = (rgb2gray(IMG2));

ht = [1 0.5];

SNR = 10:2:24;
len = length(SNR);
IMG_vctr = reshape(IMG1,1,numel(IMG1));

N = [];
for i = 1:1:length(SNR)
    TEMP = exp(SNR(i)/20);
    N(i) = IMG1(i)./(TEMP);
end

Y_CONV = conv(IMG_vctr,ht);
Y_TRUN = Y_CONV(1,length(SNR));

Y = Y_TRUN + N;

MSE = [];

for i = 1:1:length(SNR)
    MSE(i) = (Y(i) - IMG_vctr(i)).^2;
end

plot(SNR,MSE);
title('SNR vs MSE with equalizer');
ylabel('MSE');
xlabel('SNR');

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