title: Synthesis of a nonrecurrent associative memory model based on a nonlinear transformation in the spectral domain.
abstract: A new nonrecurrent associative memory model is proposed. This model is composed of a nonlinear transformation in the spectral domain followed by the association. The Moore-Penrose pseudoinverse is employed to obtain the least squares optimal solution. Computer simulations are done to evaluate the performance of the model. The simulations use one-dimensional speech signals and two-dimensional head/shoulder images. Comparison of the proposed model with the classical optimal linear associative memory and an optimal nonlinear associative memory is presented.
authors.affiliation: Dept. of Electr. and Comput. Eng., Arizona Univ., Tucson, AZ.
authors.forename: B
authors.initials: B
authors.lastname: Hunt
authors.forename: M S
authors.initials: MS
authors.lastname: Nadar
authors.forename: P
authors.initials: P
authors.lastname: Keller
authors.forename: E
authors.initials: E
authors.lastname: Voncolln
authors.forename: A
authors.initials: A
authors.lastname: Goyal