Neural adaptive sensory processing for undersea sonar

Neural adaptive beamformers (NABFs) utilize neural paradigms to accomplish desired adaptations that are associated with sensory-field-responsive partitioning and selection processes. Kohonen-type organization and Hopfield-type optimization have been formulated as NABF mechanisms and have been applied to test data. Formulations and results are included. NABFs are also used in conjunction with a learning network for interpretation of weight sets as population codings of direction. An example is included. Desirable qualities of human auditory response are being interpreted in the context of neural adaptive beamforming for the purpose of creating an integrated processing structure that incorporates NABFs, a cochlear model, and an associative memory as part of a total spatiotemporal processing scheme for selective attention. >

[1]  T. Imig,et al.  Neural Mechanisms for Sound Localization , 1984 .

[2]  Nobuo Suga,et al.  Cortical computational maps for auditory imaging , 1990, Neural Networks.

[3]  John L. Wyatt,et al.  Criteria for Robust Stability In A Class Of Lateral Inhibition Networks Coupled Through Resistive Grids , 1989, Neural Computation.

[4]  Bernard Widrow,et al.  Adaptive Signal Processing , 1985 .

[5]  D. Hestenes,et al.  Clifford Algebra to Geometric Calculus , 1984 .

[6]  J. J. Hopfield,et al.  “Neural” computation of decisions in optimization problems , 1985, Biological Cybernetics.

[7]  S. L. Speidel,et al.  Sonar scene analysis using neurobionic sound segregation , 1991, [1991 Proceedings] IEEE Conference on Neural Networks for Ocean Engineering.

[8]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[9]  Eberhard Zwicker,et al.  Cochlear preprocessing in analog models, in digital models and in human inner ear , 1990, Hearing Research.

[10]  A. R. Palmer,et al.  The representation of auditory space in the mammalian superior colliculus , 1982, Nature.

[11]  D. Hestenes,et al.  Clifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics , 1984 .

[12]  J. Aussel.  Split-spectrum processing with finite impulse response filters of constant frequency-to-bandwidth ratio , 1990 .

[13]  W. Singer,et al.  Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex. , 1989, Proceedings of the National Academy of Sciences of the United States of America.