Adaptive Filter Design Using Discrete Orthogonal Functions

Abstract

Discrete orthogonal functions are used in adaptive system identification algorithms. Adaptive filters are realized by forming linear combinations of discrete Legendre, Laguerre, and Jacobi polynomials, and backward prediction-error polynomials from a lattice structure. The adaptive filter weights are updated using the LMS algorithm. FIR and IIR bandpass filters are modeled using the adaptive filters, and performance comparisons are made.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1992
Accession Number
ADA247768

Entities

People

  • Steven J. Mcphillips

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Adaptive Filters
  • Adaptive Systems
  • Bandpass Filters
  • Classification
  • Computers
  • Digital Filters
  • Electrical Engineering
  • Engineering
  • Filters
  • Frequency Domain
  • Frequency Response
  • Linear Systems
  • Schools
  • Signal Processing
  • Transfer Functions
  • United States
  • United States Naval Academy

Fields of Study

  • Engineering

Readers

  • Calculus or Mathematical Analysis
  • Computational Modeling and Simulation
  • Phased Array Antenna Design.