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TLS linear prediction with optimum root selection for resolving closely space sinusoids
Chi Fuk Henry SO
, S. C. NG
, S. H. LEUNG
Department of Mathematics and Information Technology (MIT)
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapters
2
Citations (Scopus)
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Dive into the research topics of 'TLS linear prediction with optimum root selection for resolving closely space sinusoids'. Together they form a unique fingerprint.
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Keyphrases
Sinusoid
100%
Total Least Squares
100%
Linear Prediction
100%
Root Selection
100%
Low SNR
100%
Copyright
50%
Selection Criteria
50%
Unit Circle
50%
Frequency Estimation
50%
Low Signal-to-noise Ratio
50%
Total Least Square Method
50%
Closely Spaced
50%
Generalized Total Least Squares
50%
Cramér-Rao Bound
50%
Signal Spectrum
50%
Resolving Ability
50%
Mathematics
Linear Prediction
100%
Total Least Squares
100%
Unit Circle
33%
Square Method
33%
Noise Ratio
33%
Engineering
Least Square
100%
Signal-to-Noise Ratio
33%
Selection Criterion
33%
Square Method
33%
Frequency Estimation
33%
Signal Spectrum
33%