Title
Two-Dimensional Closely Spaced Frequency Estimation Using Decimation Technique
Abstract
Based on the two-dimensional harmonic model, this paper studies the problem of estimating the frequencies of closely spaced complex exponentials in the presence of colored noise, and presents a new estimation approach using the two-dimensional decimation technique. By using the capability of decimation in the time domain to increase the frequency intervals, the proposed method separates the frequencies in the frequency domain, and gives the exact frequency estimation by using the cumulant based matrix pencil method. The proposed method is easy to realize and has successfully improved the performance of the existing two-dimensional frequency estimation methods in the case of closely spaced frequencies. Simulations are provided to show its performances.
Year
DOI
Venue
2005
10.1109/ICASSP.2005.1416039
2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING
Keywords
Field
DocType
two dimensional decimation,over sampling,higher order cumulant,two-dimensional closely spaced frequencies,colored noise,sonar,frequency domain,space complexity,cumulant,gaussian noise,signal processing,time domain,sampling methods,frequency domain analysis,performance,matrix pencil
Signal processing,Colors of noise,Computer science,Artificial intelligence,Time domain,Frequency domain,Decimation,Matrix pencil,Pattern recognition,Higher-order statistics,Phase noise,Algorithm,Speech recognition
Conference
Volume
Issue
ISSN
IV
09
1520-6149
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
jing li100.34
Shuxun Wang2318.61
fei wang300.34