Spectrum estimation of real vector wide sense stationary processes by the hybrid steepest descent method

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

Volumn 2, Issue , 2002, Pages

  Slavakis, Konstantinos ^a   Yamada, Isao ^a   Sakaniwa, Kohichi ^a  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; ESTIMATION; SPECTRUM ANALYSIS; VECTORS;

HILBERT SPACE; HYBRID STEEPEST DESCENT METHOD; REAL VECTOR WIDE SENSE STATIONARY PROCESSES; SPECTRUM ESTIMATION;

ADAPTIVE SYSTEMS;

EID: 0036297232     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icassp.2002.5744055     Document Type: Conference Paper

References (12)

1. Application of alternating convex projection methods for computation of positive Toeplitz matrices
2. The foundations of set theoretic estimation
3. A method for finding projections onto the intersection of convex sets in Hilbert space
4. The hybrid steepest descent method for the variational inequality problem over the intersection of fixed point sets of nonexpansive mappings
5. Alternating convex projection methods for discrete-time covariance control design