DocumentCode :
978848
Title :
Adaptive subsample delay estimation using windowed correlation
Author :
Maskell, Douglas L. ; Woods, Graham S.
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
Volume :
53
Issue :
6
fYear :
2006
fDate :
6/1/2006 12:00:00 AM
Firstpage :
478
Lastpage :
482
Abstract :
An on-line delay estimation algorithm based upon the windowed average magnitude difference function (AMDF) that is suitable for determining the subsample delay between two noisy signals is introduced. The new estimator uses the AMDF to directly update the delay estimate, which is in turn used to adapt the coefficients of a fractional delay filter (FDF). The new estimator consists predominately of addition and subtraction operations and outperforms conventional FDF based estimators in low signal-to-noise ratio situations
Keywords :
adaptive filters; correlation theory; delay estimation; delay filters; adaptive filtering; adaptive subsample delay estimation; fractional delay filter; noisy signals; online delay estimation algorithm; windowed average magnitude difference function; windowed correlation; 1f noise; Delay effects; Delay estimation; Finite impulse response filter; Interpolation; Lagrangian functions; Passband; Sampling methods; Signal resolution; Time domain analysis; Adaptive filtering; delay estimation (DE); subsample delay; windowed correlation;
fLanguage :
English
Journal_Title :
Circuits and Systems II: Express Briefs, IEEE Transactions on
Publisher :
ieee
ISSN :
1549-7747
Type :
jour
DOI :
10.1109/TCSII.2006.875327
Filename :
1643465
Link To Document :
بازگشت