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April 16th, 2009, 03:12 PM   #1
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Reducing the number of rows in a matrix (interpolating?!?!?)

Dear members

I hope you had a great Easter weekend and I hope all of you are well today!

I need help with my current project regarding Principal Component Analysis. To describe shortly, I get data that is being sampled every 10ms (100 samples per second). I have a matrix of 48 coloumns and I want to have 48 rows (each row representing 1 sample) for each measurement so that I can have a square matrix for further calculations but I can not know in advance how many samples/rows I can get during the measurement. It may easily be 100 or more. So the first and last rows in the matrix remaining the same, I need to reduce the number of the rest of the samples to 46. Then I will have a matrix of 48 coloumns with 48 rows where the first row will be the first sample values, the last row will be the last sample values the those between these two have to be distributed accordingly being in total of 46.

Can anyone give me an opinion about how I can do this? I am not even sure if the answer is related to this branch (linear algebra).

Many thanks in advance for all your contribution!!!!

Kind regards
Mine
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