Cortical Adaptive Filtering in Bioacoustic Signal Classification.
Abstract
The optimal use of sonar requires the correct classification of acoustic signals. However, there are several fundamental problems which continue to resist solution including (a) high levels of noise, (b) similarity of the target and non-target signals, (c) interference in performance by situational or contextual factors, and (d) the complexity of the spectral/temporal structure of many signals of interest. Our approach is to understand existing neurobiological solutions to acoustic signal classification and to provide both empirical and computational foundations upon which successful algorithms can be devised and applied to signal classification. A very high degree of acoustic signal classification has been achieved in the auditory systems of many animals. Of particular importance is the adaptive filtering of acoustic signals at the auditory cortex.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 30, 1991
- Accession Number
- ADA240280
Entities
People
- Norman M. Weinberger
Organizations
- University of California, Irvine