Novel parameter estimation method for sinusoid signals based on TDSA

Jun Li Liang; Shu Yuan Yang; Li Gao

Novel parameter estimation method for sinusoid signals based on TDSA

Jun Li Liang
, Shu Yuan Yang
, Li Gao

CAS - Institute of Acoustics

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

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.

源语言	英语
页（从-至）	96-100
页数	5
期刊	Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
卷	29
期	1
出版状态	已出版 - 1月 2007
已对外发布	是

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title = "Novel parameter estimation method for sinusoid signals based on TDSA",

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.",

keywords = "Least square, Markov chain Monte Carlo, Model selection, Penalty term, Signal processing, TransDimensional Simulated Annealing (TDSA)",

author = "Liang, \{Jun Li\} and Yang, \{Shu Yuan\} and Li Gao",

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AU - Liang, Jun Li

AU - Yang, Shu Yuan

AU - Gao, Li

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N2 - 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.

AB - 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.

KW - Least square

KW - Markov chain Monte Carlo

KW - Model selection

KW - Penalty term

KW - Signal processing

KW - TransDimensional Simulated Annealing (TDSA)

UR - https://www.scopus.com/pages/publications/33947282230

M3 - 文章

AN - SCOPUS:33947282230

SN - 1009-5896

VL - 29

SP - 96

EP - 100

JO - Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology

JF - Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology

IS - 1

ER -

Novel parameter estimation method for sinusoid signals based on TDSA

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