Abstract
In this paper, a 3-D spatio-temporal Gabor-type filter is implemented using Time-Derivative Cellular Neural Network (TDCNN) structure. To this end, the transfer function of the spatio-temporal filter previously constructed by cascading a CNN spatial filter with a temporal filter is shown to be made equal to that of a band-pass filter obtained using a TDCNN structure having first-order temporal derivative diffusion connections only. By equating the coefficients, we obtain the discrete-space Fourier transforms of the TDCNN templates of the Gabor-type band-pass filter. Taking the inverse Fourier transform yields the TDCNN templates. Simulation results are presented.
Keywords
Filter (signal processing)
Computer science
Fourier transform
Gabor transform
Low-pass filter
Transfer function
Inverse filter
Algorithm
Inverse
Mathematics
Artificial intelligence
Computer vision
Time–frequency analysis
Mathematical analysis
Geometry
Engineering
Subject Areas
Neural Networks Stability and Synchronization
·Computer Networks and Communications ·Physical Sciences
Neural Networks and Applications
·Artificial Intelligence ·Physical Sciences
Cellular Automata and Applications
·Computational Theory and Mathematics ·Physical Sciences
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