Novel parameter estimation method for sinusoid signals based on TDSA

Jun Li Liang, Shu Yuan Yang, Li Gao

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This paper presents a new method of estimating numbers and frequencies for sinusoid signals based oil TransDimensional Simulated Anncaling (TDSA) algorithm. This paper introduces penalty term and least square into TDSA, and gives a method that simultaneously estimates the numbers and frequencies of sinusoids signals in white Gaussian noise. Finally, the validity of this method is well verified by the simulation.

Original languageEnglish
Pages (from-to)96-100
Number of pages5
JournalDianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
Volume29
Issue number1
StatePublished - Jan 2007
Externally publishedYes

Keywords

  • Least square
  • Markov chain Monte Carlo
  • Model selection
  • Penalty term
  • Signal processing
  • TransDimensional Simulated Annealing (TDSA)

Fingerprint

Dive into the research topics of 'Novel parameter estimation method for sinusoid signals based on TDSA'. Together they form a unique fingerprint.

Cite this