Estimating the Number of Signals of the Damped Exponential Models

Abstract

In this paper we consider the problem of estimating the number of signals of the damped exponential models. We use different information theoretic criteria to detect the number of signals and compare their small sample performances by Monte Carlo simulations study.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1999
Accession Number
ADA379088

Entities

People

  • Amit Mitra
  • Debasis Kundu

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Data Analysis
  • Data Science
  • Estimators
  • Information Science
  • Information Theory
  • Mathematics
  • Maximum Likelihood Estimation
  • Monte Carlo Method
  • Multivariate Analysis
  • Numbers
  • Probability
  • Random Variables
  • Signal Processing
  • Simulations
  • Statistical Algorithms
  • Statistical Analysis
  • Statistics

Fields of Study

  • Engineering

Readers

  • Acoustical Oceanography.
  • Linear Algebra
  • Regression Analysis.