Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Improved frequency estimation using total least squares linear prediction with frequency weighting

Improved frequency estimation using total least squares linear prediction with frequency weighting

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

A general total least squares (GTLS) solution for linear prediction to estimate closely spaced sinusoids is presented. A frequency weighted prediction error approach is introduced. Experimental results show that the GTLS solution based on the frequency weighted prediction error can give a robust performance even in very low SNR.

References

    1. 1)
      • S.M. Kay . (1988) Modern spectral estimation: Theory and applications.
    2. 2)
      • Y. Hua , T.K. Sarkar . On the total least squares linear prediction method for frequency estimation. IEEE Trans. Acoust. Speech Signal Process. , 12 , 2186 - 2189
    3. 3)
      • M.A. Rahman , K.B. Yu . Total least squares approach for frequency estimation using linear prediction. IEEE Trans. Acoust. Speech Signal Process. , 10 , 1440 - 1454
http://iet.metastore.ingenta.com/content/journals/10.1049/el_19970265
Loading

Related content

content/journals/10.1049/el_19970265
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address