I have several files of data which, when plotted, look like the image presented. My problem is that i need them all to be laid on top of each other, with the beginning of the rise of the first sinusoidal wave matched up in the x and y. This is so that I can create an average waveform to reduce noise in the readings. Currently, my code impoorts all my text files, 30 of them, into an array and plots them using the following loop
for K = 1 : 30 %open and read the text files
S{K} = readtable(files(K));
Sr{K} = rmmissing(S{K}); %remove NaN values from the text files
end
for K = 1 : 30 %plot each indivdual graph for comparisons
plot(Sr{K}.(1), Sr{K}.(2), ‘displayname’, files(K));
hold on
end

I know how to transform them all individually, but cannot figure out how to make it all happen at once. I attempted to use a matchFeatures command, but could not figure out precisely how to do what I wished.

The goal is for the first graph to look similar to the second, where the initial rise is matched, allowing the peaks to be easily compared.
Any help would be appreciated, thank you!I have several files of data which, when plotted, look like the image presented. My problem is that i need them all to be laid on top of each other, with the beginning of the rise of the first sinusoidal wave matched up in the x and y. This is so that I can create an average waveform to reduce noise in the readings. Currently, my code impoorts all my text files, 30 of them, into an array and plots them using the following loop
for K = 1 : 30 %open and read the text files
S{K} = readtable(files(K));
Sr{K} = rmmissing(S{K}); %remove NaN values from the text files
end
for K = 1 : 30 %plot each indivdual graph for comparisons
plot(Sr{K}.(1), Sr{K}.(2), ‘displayname’, files(K));
hold on
end

I know how to transform them all individually, but cannot figure out how to make it all happen at once. I attempted to use a matchFeatures command, but could not figure out precisely how to do what I wished.

The goal is for the first graph to look similar to the second, where the initial rise is matched, allowing the peaks to be easily compared.
Any help would be appreciated, thank you! I have several files of data which, when plotted, look like the image presented. My problem is that i need them all to be laid on top of each other, with the beginning of the rise of the first sinusoidal wave matched up in the x and y. This is so that I can create an average waveform to reduce noise in the readings. Currently, my code impoorts all my text files, 30 of them, into an array and plots them using the following loop
for K = 1 : 30 %open and read the text files
S{K} = readtable(files(K));
Sr{K} = rmmissing(S{K}); %remove NaN values from the text files
end
for K = 1 : 30 %plot each indivdual graph for comparisons
plot(Sr{K}.(1), Sr{K}.(2), ‘displayname’, files(K));
hold on
end

I know how to transform them all individually, but cannot figure out how to make it all happen at once. I attempted to use a matchFeatures command, but could not figure out precisely how to do what I wished.

The goal is for the first graph to look similar to the second, where the initial rise is matched, allowing the peaks to be easily compared.
Any help would be appreciated, thank you! graph, transformation MATLAB Answers — New Questions

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