sine wave max and min points normalization

i have a table (960x15) where each column refers to a sine wave.how can i find from the table the max and min points of each sine wave, normalize them by making them equal to their next point, find the peak to peak array before and after the normalization,find the peak to peak difference and show the results in additional arrays.

after all the above i need to find the average in each sine wave, delete it from the sine wave so that the sine wave moves closer to 0,then find the 5 sine waves that have the maximum peak to peak difference after their normalization,and show 5 figures with 2 waves each one.the first will be the sine wave without normalization and the second after the normalization.

thanks in advance

thanks again!!!

Answer 1

[Image Analyst]

Try this:

[rows, columns] = size(sineWaveArray2D)
maxValues = max(sineWaveArray2D)
minValues = min(sineWaveArray2D)
% Normalize each column in range 0 to 1.
normalizedSineWaveArray2D = zeros(rows, columns); % Initialize
for col = 1 : columns
  normalizedSineWaveArray2D(:,col) = ...
    (normalizedSineWaveArray2D(:, col) - minValues(col)) ./ ...
    (maxValues(col) - minValues(col));
  subplot(2,5,col);
  plot(normalizedSineWaveArray2D(:,col), 'r-');
  title('Original', 'FontSize', 14);
  grid on;
  subplot(2,5,col+5);
  plot(sineWaveArray2D(:,col), 'b-');
  title('Normalized', 'FontSize', 14
  grid on;
end
normalizedSineWaveArray2D

After normalization the "peak to peak difference" will obviously be 1 since the array is now normalized, so I don't know why you're asking for that. You could scale to -1 to +1 instead of 0 to 1 with trivial changes of course. Feel free to adapt it.

[Zacharias]

thanks my friend.i'll try your answer and see how it works!!!

[Image Analyst]

Zacharias's "Answer" moved here to be a comment.

what if i do not want to normalize the sine wave and just replace the max and min points with their next one?

[Image Analyst]

You can do that if you want.