Realignment of columns in a matrix with one (or more) values out of sync -- a "voting" algorithm?
I have what I think is a rather simple question. I have a three column matrix of the times of peaks calculated from three common-time-base vectors. I know how many peaks there should be, and that limits the calculation. On occasion there is a misalignment like the following: 13 17 15 24 36 33 34 56 59 59 75 75 75 96 97 97 113 114 134 134 135 The “24” is inserted, and a value of “113” or “114” is dropped in the first column. The numbers are close but not exact, and a mean or median of two out of three would be a good guess. Any suggestions on how to implement such a realignment?
Prashant Kumar answered .
2025-11-20
nX = zeros(size(X)); m = median(X,2); for K = 1 : size(X,2) nX(:,K) = interp1(X(:,K), X(:,K), m); end