Influences of Hardware Implementation on a High Speed Digital Adaptive Filter Using the Residue Number System.

Abstract

A study of the performance and certain characteristics of an eight-weight adaptive FIR digital filter implementing the LMS algorithm using Residue Number System (SRNS) arithmetic hardware has been done in order to draw conclusions as to the optimum hardware configuration. Affects of the hardware and unknown system on the rate of convergence and adaptive algorithm step size were found by running filter simulations for different values of the systems quantities. It was found that characteristics of the unknown system (or plant) do not affect the choice of filter hardware. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1982
Accession Number
ADA123146

Entities

People

  • Kimberly D. Weinmann

Organizations

  • University of California, Davis

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Adaptive Filters
  • Adaptive Systems
  • Air Force
  • Algorithms
  • Arithmetic
  • Convergence
  • Delay Lines
  • Digital Filters
  • Education
  • Equations
  • Filters
  • Information Science
  • Parallel Computing
  • Parallel Processing
  • Simulations
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Computer Programming and Software Development.
  • Phased Array Antenna Design.
  • Systems Analysis and Design