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The design of the minimum-variance nonzero order joint transform correlator (MV-NOJTC) for distortion invariant pattern recognition is presented. We constrain the expected value of the cross-correlation peak to a constant for each input image in a training set, while minimizing the peak variance of the cross-correlation output due to input noise, a general solution for the space-domain based reference...
It has been shown previously that a linear Wiener filter is capable of detecting a target in severe clutter backgrounds by utilising a parametric model of the clutter power spectrum in its filter transfer function. In this paper the performance of the linear Wiener filter is compared to that implemented in a non-linear joint transform correlator in which the entire current input scene is used as an...
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