Linear Method of the Power Spectrum Estimation Based on MATLAB Simulation

2012 ◽  
pp. 785-791
Author(s):  
Zhongliang Sun ◽  
Xiaokan Wang ◽  
Sanci Guo
Keyword(s):  
Power Spectrum ◽  
Linear Method ◽  
Spectrum Estimation ◽  
Matlab Simulation ◽  
Power Spectrum Estimation

AR Model Power Spectrum Estimation and MATLAB Simulation

2014 ◽  
Vol 971-973 ◽  
pp. 1561-1564 ◽  
Author(s):  
Min Ji ◽  
Jing Feng He ◽  
You Qiang Lai
Keyword(s):  
Parameter Estimation ◽  
Power Spectrum ◽  
Frequency Domain ◽  
Ar Model ◽  
Model Parameters ◽  
Spectrum Estimation ◽  
Actual Situation ◽  
Matlab Simulation ◽  
Power Spectrum Estimation ◽  
Advantages And Disadvantages

the power spectrum estimation researches various characteristics of signals in the frequency domain. The purpose is that signals are recognized and extract .Because these useful signals are submerged in noise .The article introduces estimation in the classic power spectrum and modern power spectrum. It is important that algorithm of AR model parameters are introduced in the parameter estimation of several typical. It discusses the advantages and disadvantages of various algorithms, and with the help of MATLAB platform, the various algorithms of power spectrum are simulated, in order to undertake choosing according to the actual situation.

The Simulation of Burg Algorithm for AR Model Power Spectrum Estimation

2011 ◽  
Vol 179-180 ◽  
pp. 426-430
Author(s):  
Hong He ◽  
Xing Huang ◽  
Fang Liu ◽  
Da Jian Zhang ◽  
Ming Feng Hou
Keyword(s):  
Power Spectrum ◽  
Direct Method ◽  
Spectral Estimation ◽  
Ar Model ◽  
Spectrum Estimation ◽  
Matlab Simulation ◽  
Transform Method ◽  
Power Spectrum Estimation ◽  
Fast Fourier Transform Method ◽  
Spectrum Curve

Classical spectral estimation, whether the direct method or indirect method, are available to fast Fourier transform method, their concepts are clear and easy to understand, its resolution is proportional to . This paper describes the commonly used in modern power spectrum estimation based on AR model Burg algorithm, MATLAB simulation shows this method to estimate the power spectrum curve, results showed that the Burg algorithm in spectral resolution and model in the order of sub-option square than the self-correlation algorithm has obvious advantages.

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