Algebraic Integer Quantization and Conversion

Abstract

The algebraic-integer number representation, in which the signal sample is represented by a set of (typically four to eight) small integers, combines with residue number system (RNS) processing to produce processors composed of simple parallel channels. The analog samples must first be converted into the algebraic-integer representation, and the final algebraic-integer result converted back to an analog or digital form. These are quantization problems. Second, the algebraic-integer representation must be converted into and out of two levels of RNS parallelism. These are RNS conversion problems. This paper provides practical solutions, which can be implemented with current technology, to these quantization and conversion problems. Keywords: Digital signal processing.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1988
Accession Number
ADA206664

Entities

People

  • Joseph J. Rushanan
  • Richard A. Games
  • Sean D. O'neil

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Availability
  • Coding
  • Command And Control
  • Complex Numbers
  • Computer Programming
  • Computers
  • Converters
  • Decoding
  • Digital Signal Processing
  • Dynamic Range
  • Error Analysis
  • Filters
  • Filtration
  • Random Variables
  • Real Numbers
  • Signal Processing

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Linear Algebra
  • Military Logistics and Supply Chain Management