Work

Pattern Recognition System Design with Linear Encoding for Discrete Patterns

Year: 2007

Type: conference-paper

Abstract: Pattern recognition systems based on compressed patterns and compressed sensor measurements can be designed using low-density matrices. We examine truncation encoding where a subset of the patterns and measurements are stored perfrectly while the rest is discarded. We also examine the use of LDPC parity check matrices for compressing measurements and patterns. We show how more general ensembles of good linear codes can be used as the basis for pattern recognition system design, yielding system design strategies for more general noise models.

Source: IEEE International Symposium on Information Theory (ISIT)

DOI: 10.1109/isit.2007.4557243

Authors: Po-Hsiang Lai, Joseph A. O'Sullivan

Institution: Washington University in St. Louis

Language: English

Topic: Error Correcting Code Techniques

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Office of Naval Research

OpenAlex ID: W2031334893

FWCI:

Cites: 7

Cited by: 3

Related to: 10