Multidimensional Gabor-Like Filters Derived from Gaussian Functions on
  Logarithmic Frequency Axes
Dherik Devakumar Ole Christian Eidheim
A novel wavelet-like function is presented that makes it convenient to create
filter banks given mainly two parameters that influence the focus area and the
filter count. This is accomplished by computing the inverse Fourier transform
of Gaussian functions on logarithmic frequency axes in the frequency domain.
The resulting filters are similar to Gabor filters and represent oriented brief
signal oscillations of different sizes. The wavelet-like function can be
thought of as a generalized Log-Gabor filter that is multidimensional, always
uses Gaussian functions on logarithmic frequency axes, and innately includes
low-pass filters from Gaussian functions located at the frequency domain
origin.