An eigenvalue residuum-based criterion for detection of the number of sinusoids in white Gaussian noise

Conference Proceedings - IEEE SOUTHEASTCON

Volumn 1999-March, Issue , 1999, Pages 154-158

  Zhang, Jian Qiu ^a   Ovaska, Seppo J ^b   Gao, Xiao Zhi ^b  

^a UNIVERSITY OF GREENWICH   (United Kingdom)

^b AALTO UNIVERSITY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); RANDOM PROCESSES; SIGNAL TO NOISE RATIO; WHITE NOISE; COMPUTER SIMULATION; NATURAL FREQUENCIES; PARAMETER ESTIMATION;

AKAIKE'S INFORMATION CRITERIONS; ASYMPTOTICS; COVARIANCE MATRICES; EIGEN-VALUE; GAUSSIAN RANDOM PROCESS; MINIMUM DESCRIPTION LENGTH PRINCIPLE; PERFORMANCE; SINUSOIDAL SIGNALS; SMALLEST EIGENVALUE; WHITE GAUSSIAN NOISE; AKAIKE INFORMATION CRITERION; EIGENVALUE RESIDUUM BASED CRITERION; SINUSOIDAL SIGNAL;

COVARIANCE MATRIX; SIGNAL DETECTION;

EID: 0033352103     PISSN: 10910050     EISSN: 1558058X     Source Type: Conference Proceeding    
DOI: 10.1109/SECON.1999.766114     Document Type: Conference Paper

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