Signal Processing and Recognition in Adaptive Neural Networks

Abstract

This research can be subdivided into four areas: (1) Models and neurophysiology of the auditory cortex. This includes mappings of physiological responses to sound, psychoacoustical studies, and mathematical models of the data. (2) Implementations of the cochlear and other auditory models both in DSP and VLSI forms. (3) Unsupervised learning algorithms applied to problems in sound segmentation, timbre characterization, and pitch extraction. (4) Applications of wavelet transforms to the analysis of neural networks.

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Document Details

Document Type
Technical Report
Publication Date
Aug 09, 1990
Accession Number
ADA226828

Entities

People

  • P.S.Krishnaprasad
  • Shihab A Shamma

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Acoustic Signals
  • Algorithms
  • Analogs
  • Computational Science
  • Computer Vision
  • Extraction
  • Frequency
  • Learning
  • Mathematical Models
  • Models
  • Neural Networks
  • Neurophysiology
  • Recognition
  • Signal Processing
  • Unsupervised Machine Learning
  • Wavelet Transforms

Readers

  • Computer Vision.
  • Integrated Circuit Design and Technology.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks