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Iterative methods for solving the Gabor expansion: considerations of convergence

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2 Author(s)
Braithwaite, R.N. ; Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC, Canada ; Beddoes, M.P.

J.G. Daugman's (1988) neural network solution to the Gabor expansion of an image is reformulated as a steepest descent implementation. Nonlinear optimization theory is then applied to select an appropriate convergence factor. Two quasi-Newton-based nonlinear optimization techniques are applied to improve the convergence for certain types of lattice

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Image Processing, IEEE Transactions on  (Volume:1 ,  Issue: 2 )