Theoretical Analysis of Image Processing Using Parameter-Tuning Stochastic Resonance Technique

Abstract

Parameter-tuning stochastic resonance (PSR) technique provides a new approach for signal processing. This paper will first fill the gap in the performance analysis of the nonlinear PSR-based detector by comparing it with the matched filter detector by comparing it with the matched filter detector under both ideal conditions (white Gaussian noise, and perfect synchronization) and no-ideal conditions (colored noise, desynchronization, and low sampling rate) to identify its strengths and weaknesses.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2006
Accession Number
ADA472486

Entities

People

  • Bohou Xu
  • Daniel W. Repperger
  • Xingxing Wu
  • Zhong-Ping Jiang

Organizations

  • Zhejiang University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Detectors
  • Engineering
  • Filters
  • Gaussian Noise
  • Image Processing
  • Information Operations
  • Matched Filters
  • Military Research
  • Resonance
  • Signal Processing
  • Universities
  • Visualizations

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Image Processing and Computer Vision.