neural network to detect points in signal
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michael scheinfeild
on 28 Mar 2016
Commented: Greg Heath
on 30 Mar 2016
i have two signals they look like sine wave but with some noise . in this signals of length 100 each i have 1-5 points each time(caqn change) i want to detect. my question is can i use neural network to detect points. i want network will have 2* 100 inputs which represent signal and 100 outputs which can be 1 or 0. the issue that each time i have different signals and the point location is different is it possible to design such network
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Accepted Answer
Greg Heath
on 28 Mar 2016
You don't need the complexity of a neural network.
Just use something like
d = 5
y = zeros(1,100);
for i = 1:100-d
if sae(x1(i:i+d)-x2(i:i+d)) > thresh
y(i+d) = 1
end
end
Hope this helps.
Thank you for formally accepting my answer
Greg
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More Answers (1)
michael scheinfeild
on 29 Mar 2016
1 Comment
Greg Heath
on 30 Mar 2016
I don't fully understand your comment. However if you are complaining that multiple outputs have to be compared to multiple ground truth standards, then I feel for you.
Good Luck,
Greg
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