%TRAINING DATASET GENERATION

x=0:0.01:7;

ph = 2*pi*rand;

y = sin(3*x + ph);

outpure = y;

outnoisy = awgn(y,15);

%frequency=3, low noise

for i=1:299

    ph = 2*pi*rand;

    y = sin(3*x + ph);

    outpure = [outpure;y];

    outnoisy = [outnoisy;awgn(y,15)];

end

%frequency=3, medium noise

for i=1:300

    ph = 2*pi*rand;

    y = sin(3*x + ph);

    outpure = [outpure;y];

    outnoisy = [outnoisy;awgn(y,7)];

end

%frequency=3, harsh noise

for i=1:300

    ph = 2*pi*rand;

    y = sin(3*x + ph);

    outpure = [outpure;y];

    outnoisy = [outnoisy;awgn(y,1)];

end

%f=5 

for i=1:300

    ph = 2*pi*rand;

    y = sin(5*x + ph);

    outpure = [outpure;y];

    outnoisy = [outnoisy;awgn(y,13)];

end

%frequency=5, medium noise

for i=1:300

    ph = 2*pi*rand;

    y = sin(5*x + ph);

    outpure = [outpure;y];

    outnoisy = [outnoisy;awgn(y,5)];

end

%frequency=5, harsh noise

for i=1:300

    ph = 2*pi*rand;

    y = sin(5*x + ph);

    outpure = [outpure;y];

    outnoisy = [outnoisy;awgn(y,0.5)];

end

%frequency=8, low noise

for i=1:300

    ph = 2*pi*rand;

    y = sin(8*x + ph);

    outpure = [outpure;y];

    outnoisy = [outnoisy;awgn(y,13)];

end

%frequency=8, medium noise

for i=1:300

    ph = 2*pi*rand;

    y = sin(8*x + ph);

    outpure = [outpure;y];

    outnoisy = [outnoisy;awgn(y,5)];

end

%frequency=8, harsh noise

for i=1:300

    ph = 2*pi*rand;

    y = sin(8*x + ph);

    outpure = [outpure;y];

    outnoisy = [outnoisy;awgn(y,0.5)];

end

%frequency=12, low noise

for i=1:300

    ph = 2*pi*rand;

    y = sin(12*x + ph);

    outpure = [outpure;y];

    outnoisy = [outnoisy;awgn(y,13)];

end

%frequency=12, medium noise

for i=1:300

    ph = 2*pi*rand;

    y = sin(12*x + ph);

    outpure = [outpure;y];

    outnoisy = [outnoisy;awgn(y,5)];

end

%frequency=12, harsh noise

for i=1:300

    ph = 2*pi*rand;

    y = sin(12*x + ph);

    outpure = [outpure;y];

    outnoisy = [outnoisy;awgn(y,0.5)];

end

xlswrite('pure.xlsx',outpure);

xlswrite('noisy.xlsx',outnoisy);