smse Computes the mean square error between two fsignals
smse [-n] Signal1 Signal2 . . . .
-n : flag to normalize the signals
Signal1 : original signal
Signal2 : reconstructed signal
. (screen output) : signal to noise ratio / `Sig1` (SNR)
. (screen output) : peak signal to noise ratio / `Sig1` (PSNR)
. (screen output) : mean square error between Sig1 and Sig2 (MSE)
. (screen output) : maximal relative difference (MRD)
void smse (Sig1 , Sig2 , Norm , SNR , PSNR , MSE , MRD )
Fsignal Sig1 , Sig2 ;
int *Norm ;
double *SNR ;
double *PSNR ;
double *MSE ;
double *MRD ;
smse computes the maximal relative difference, mean square error, signal to noise ratio, and peak signal to noise ratio between two univariate digitized signals whose sample values are read in files Signal1 and Signal2.
The maximal relative difference is given by
The mean square error is defined by
In maximal relative difference and mean square difference the two signals have symetric roles. This is no longer the case in (peak) signal to noise ratio. These quantities can be calculated for any two signals, but are more meaningful if f1 is considered as an original signal and f2 as an approximation to it. The signal to noise ratio and peak signal to noise ratio are defined as follows
The -n option specifies that the two signals are normalized to 0.0 mean and 1.0 variance before the computation of the quantities listed above.
Last Modification date : Thu Apr 15 01:04:32 2004
Jean-Pierre D'Ales, Jacques Froment