Performance breakdown of subspace-based methods: Prediction and cure

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 6, Issue , 2001, Pages 4005-4008

  Hawkes, Malcolm ^a   Nehorai, Arye ^a   Stoica, Petre ^b  

^a UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^b UPPSALA UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; MATRIX ALGEBRA; PARAMETER ESTIMATION; PROBABILITY; SIGNAL TO NOISE RATIO; VECTORS;

NOISE EIGENVALUES; NOISE SUBSPACE; SIGNAL SUBSPACE;

SIGNAL DETECTION;

EID: 0034842128     PISSN: 15206149     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICASSP.2001.940722     Document Type: Article

References (9)

1. The threshold effect in signal processing algorithms which use an estimated subspace
2. The probability of a subspace swap in the SVD
3. On the resolution performance of spectral analysis
4. Performance breakdown of subspace-based methods: Prediction and cure
5. Multivariate normal probability integrals with product correlation structure
6. MUSIC, maximum likelihood, and Cramér-Rao bound
7. ESPRIT - Estimation of signal parameters via rotational invariance techniques
8. Locally best unbiased estimates