Advanced Signal Processing Techniques
Abstract
The research efforts under this program have been in the area of parallel and connectionist implementations of signal processing functions such as filtering, transforms, convolution and pattern classification and clustering. The topics which have been found to be the most promising, in as far as their novelty, and applicability to the classification of pulses are covered in the following four sections: (1) Algebraic Transforms and Classifiers, (2) An Interaction Model of Neural-Net based Associative Memories, (3) Models of Adaptive Neural-Net based Pattern Classifiers, and (4) Discrete Fourier Transforms on Hypercubes.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 1991
- Accession Number
- ADA244148
Entities
People
- B. Andriamanalimanana
- J. Novillo
- Surojeet Sengupta
Organizations
- Calspan-University of Buffalo Research Center