Temporal Pattern Analysis Using Multidimensional Discrete Fourier Transforms.
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OHIO SCHOOL OF ENGINEERING
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The purpose of the paper is to extend an existing two-dimensional Fourier transform model of the human visual system to include a temporal dimension. The first analysis considered used three dimensions, two representing space and the third representing time it was found that by use of a temporal low-pass filter, periodic patterns could be separated from aperiodic. A subsequent analysis used only two dimensions, one representing a spatial dimension and the other time. By intermittent intensity variation upon the temporal pattern, a predicted psycho-perceptual effect was found in the model which was isomorphic to certain human perception phenomena. Further agreement with psychophysical data was found in the spatio-temporal relationship. Author