Evolving Novel Coefficient Sets for Optimized Reconstruction of Quantized One-Dimensional (1-D) and Two-Dimensional (2-D) Signals. 2004 Visiting Faculty Research Program (VFRP) In-House Work at AFRL/IFTA

Abstract

This paper describes a genetic algorithm that evolves optimized sets of coefficients for signal reconstruction under lossy conditions due to quantization. Beginning with a population of mutated copies of the set of coefficients describing a wavelet-based inverse transform, our genetic algorithm systemically evolves a new set of coefficients that significantly reduces mean squared error (relative to the performance of the selected wavelet) for various classes of one- and two-dimensional signals.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2004
Accession Number
ADA435968

Entities

People

  • Frank Moore
  • Pat Marshal

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Air Force Research Laboratories
  • Algorithms
  • Coefficients
  • Demographic Cohorts
  • Genetic Algorithms
  • Government Procurement
  • Governments
  • Images
  • Information Systems
  • Military Research
  • Photographic Images
  • Reliability
  • Sine Waves
  • Two Dimensional
  • Wavelet Transforms

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Image Processing and Computer Vision.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Biotechnology