Development of a Class-Specific Module for Hyperbolic, Frequency-Modulated Signals

Abstract

The class-specific method (CSM) is a novel technique for signal classification. CSM operates by computing low-dimensional feature sets, each tailored to a given signal class. In this manner, CSM avoids the difficulties inherent with classical Bayesian signal classification methods that attempt to estimate probability distributions in high-dimensional feature space. The fundamental building block of a CSM classifier is the feature extraction module. Each module is designed for a specific signal class. This report presents the development of a module for hyperbolic, frequency-modulated signals. This development also serves to acquaint the CSM novice with the general considerations in module design.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 07, 2005
Accession Number
ADA437031

Entities

People

  • Brian F. Harrison

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computations
  • Data Science
  • Equations
  • Filters
  • Frequency
  • Gaussian Noise
  • Hidden Markov Models
  • Information Science
  • Matched Filters
  • Models
  • Order Statistics
  • Probability
  • Probability Density Functions
  • Random Variables
  • Standards
  • Statistics
  • Time Domain

Fields of Study

  • Engineering

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • Space
  • Space - Orbital Debris