Title :
Neural adaptive sensory processing for undersea sonar
Author :
Speidel, Steven L.
Author_Institution :
US Naval Command Control & Ocean Surveillance Center, San Diego, CA, USA
fDate :
10/1/1992 12:00:00 AM
Abstract :
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
Keywords :
Hopfield neural nets; acoustic signal processing; adaptive systems; content-addressable storage; learning (artificial intelligence); optimisation; signal processing; sonar; underwater sound; Hopfield-type optimization; Kohonen-type organization; adaptive sensory processing; associative memory; cochlear model; direction; human auditory response; integrated processing structure; learning network; neural adaptive beamforming; neural paradigms; population codings; selective attention; sensory-field-responsive partitioning; spatiotemporal processing; undersea sonar; weight sets; Array signal processing; Auditory system; Biological system modeling; Circuits; Humans; Oceans; Regulators; Sensor arrays; Sonar; Testing;
Journal_Title :
Oceanic Engineering, IEEE Journal of
