Blind methods of system identification

Circuits, Systems, and Signal Processing

Volumn 21, Issue 1, 2002, Pages 91-108

  Hua, Yingbo ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Blind deconvolution; Blind equalization; Blind source separation; Blind system identification; MIMO systems; SIMO systems; SISO systems

Indexed keywords

BLIND SOURCE SEPARATION; EQUALIZERS; FIR FILTERS; FREQUENCY RESPONSE; IIR FILTERS; MATRIX ALGEBRA; POLYNOMIALS; PROBABILITY DENSITY FUNCTION; STATISTICAL METHODS; TRANSFER FUNCTIONS;

BLIND DECONVOLUTION; BLIND EQUALIZATION; BLIND SYSTEM IDENTIFICATION; PHASE FREQUENCY RESPONSE; SECOND ORDER STATISTICS; SINGLE-INPUT-SINGLE-OUTPUT SYSTEM;

SIGNAL FILTERING AND PREDICTION;

EID: 0036232329     PISSN: 0278081X     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF01211654     Document Type: Article

References (26)

1. Blind system identification
2. Adaptive blind signal processing-neural network approaches
3. A blind source separation technique using second-order statistics
4. Blind deconvolution via cumulant extrema
5. Blind signal separation: Statistical principles
6. Subspace-based techniques for blind separation of convolutive mixtures with temporally correlated sources
7. Fast maximum likelihood for blind identification of multiple FIR channels
8. Techniques of eigenvalues estimation and association
9. Blind identification and equalization of FIR MIMO channels by BIDS
10. Blind identification and equalization of FIR MIMO channels driven by colored signals
11. Matrix pencil method for estimating parameters of exponentially damped/undamped sinusoids in noise
12. Blind identifiability of FIR-MIMO systems with colored input using second order statistics
13. Blind identification of colored signals distorted by FIR channels
14. A new look at the power method for fast subspace tracking
15. Special issue on blind identification
16. A two stage algorithm for MIMO blind deconvolution of colored input signals
17. Subspace methods for blind identification of multichannel FIR filters
18. A subspace method for the computation of the GCD of polynomials
19. Indeterminacy and identifiability of blind identification
20. Multichannel blind identification: From subspace to maximum likelihood methods
21. On a whitening approach to partial channel estimation and blind equalization of FIR/IIR multiple-input multiple-output channels
22. Beamforming: A versatile approach to spatial filtering
23. Adaptive blind source separation by second order statistics and natural gradient
24. A least-square approach to blind channel identification