Statistical Analysis of the LMS and Modified Stochastic Gradient Algorithms

Abstract

During the period April 15 1989, the Air Force Office of Scientific Research supported research work on the stochastic behavior of the LMS and related adaptive algorithms has yielded results in two major areas: Digital Implementation of Stochastic Gradient Type adaptive Algorithms; and LMS and RLS Performance Comparison for Tracking a Chirped Sinusoid in Noise. Keywords: Mathematical models, Electrical engineering, Echo cancellation, Abstracts.

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Document Details

Document Type
Technical Report
Publication Date
May 14, 1989
Accession Number
ADA208618

Entities

People

  • Neil J. Bershad

Organizations

  • University of California, Irvine

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Adaptive Filters
  • Air Force
  • Communication Systems
  • Computational Science
  • Covariance
  • Detectors
  • Difference Equations
  • Electrical Engineering
  • Engineering
  • Filters
  • Frequency
  • Frequency Domain
  • Mathematical Models
  • Noise
  • Probability Density Functions
  • Signal Processing
  • Statistical Analysis

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radar Systems Engineering.