On asymptotic normality of nonlinear least squares for sinusoidal parameter estimation

IEEE Transactions on Signal Processing

Volumn 56, Issue 9, 2008, Pages 4511-4515

  Li, Ta Hsin ^a   Song, Kai Sheng ^b  

^a IBM T J WATSON RESEARCH CENTER   (United States)

^b UNIVERSITY OF NORTH TEXAS   (United States)

Author keywords

Frequency estimation; Impulsive noise; Maximum likelihood estimation; Non Gaussian noise; Nonlinear estimation; Spectral analysis

Indexed keywords

ASYMPTOTIC NORMALITIES; CRAMER-RAO LOWER BOUNDS; GAUSSIAN WHITE NOISE; IMPULSIVE NOISE; NOISE DISTRIBUTIONS; NON-GAUSSIAN; NON-GAUSSIAN NOISE; NON-LINEAR LEAST SQUARES; NONLINEAR ESTIMATION; SPECTRAL ANALYSIS;

ASYMPTOTIC ANALYSIS; COMPUTATIONAL FLUID DYNAMICS; CONTROL THEORY; CRAMER-RAO BOUNDS; CURVE FITTING; ESTIMATION; GAUSSIAN NOISE (ELECTRONIC); IMPULSE NOISE; MAXIMUM LIKELIHOOD ESTIMATION; METAL ANALYSIS; NONLINEAR ANALYSIS; PARAMETER ESTIMATION; SPECTRUM ANALYSIS; SPECTRUM ANALYZERS; WHITE NOISE;

FREQUENCY ESTIMATION;

EID: 58649106964     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2008.925966     Document Type: Article

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