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Top Forums Shell Programming and Scripting How to calculate the difference between two adjacent columns? Post 302377152 by Fredrick on Thursday 3rd of December 2009 08:48:36 AM
Old 12-03-2009
How to calculate the difference between two adjacent columns?

Dear All,

I need to find the difference between two adjacent columns. The file is having 'i' columns and i need to find the difference between two adjacent columns (like $1 difference $2; $2 difference $3; .... and $(i-1) difference $i). I have used the following coding

HTML Code:
awk '{ for (i=1; i<NF; i++) if (($i - $i+1) > 10) print 1; else print 0}' input > output
While using the above in the command line, i am getting the values only in the first column of the output file. I need to print the difference in columns.
(for example; output $1 = input $1 difference input $2...etc..)

The problem here is, i need to get the difference between the two adjacent columns (for example: if the first column first element is 10 and the second column first element is 40, then $1 - $2 = -30, which is less than 10, so the output will be 0 in this case) But if you see the difference is 30. So i need to check the difference is > 10 or not.

Is there any difference operator in awk? (like $1 ~ $2).
I need your help in this regard.

Expecting your reply and thanks in advance.

Regards
Fredrick.
 

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pnmpsnr(1)						      General Commands Manual							pnmpsnr(1)

NAME
pnmpsnr - compute the difference between two images (the PSNR) SYNOPSIS
pnmpsnr [pnmfile1] [pnmfile2] DESCRIPTION
Reads two PBM, PGM, or PPM files, or PAM equivalents, as input. Prints the peak signal-to-noise ratio (PSNR) difference between the two images. This metric is typically used in image compression papers to rate the distortion between original and decoded image. If the inputs are PBM or PGM, pnmpsnr prints the PSNR of the luminance only. Otherwise, it prints the separate PSNRs of the luminance, and chrominance (Cb and Cr) components of the colors. The PSNR of a given component is the ratio of the mean square difference of the component for the two images to the maximum mean square difference that can exist betwee any two images. It is expressed as a decibel value. The mean square difference of a component for two images is the mean square difference of the component value, comparing each pixel with the pixel in the same position of the other image. For the purposes of this computation, components are normalized to the scale [0..1]. The maximum mean square difference is identically 1. So the higher the PSNR, the closer the images are. A luminance PSNR of 20 means the mean square difference of the luminances of the pixels is 100 times less than the maximum possible difference, i.e. 0.01. SEE ALSO
pnm(5) 04 March 2001 pnmpsnr(1)
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