A robust frequency domain subspace algorithm for multi-component harmonic retrieval

Conference Record of the Asilomar Conference on Signals, Systems and Computers

Volumn 2, Issue , 2001, Pages 1288-1292

  McKelvey, Tomas ^a   Viberg, Mats ^a  

^a CHALMERS UNIVERSITY OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DISCRETE FOURIER TRANSFORMS; EIGENVALUES AND EIGENFUNCTIONS; FREQUENCY DOMAIN ANALYSIS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; POLYNOMIALS; SIGNAL TO NOISE RATIO; WHITE NOISE;

COLORED NOISE; MULTI COMPONENT HARMONIC RETRIEVAL; SIGNAL MODEL;

SIGNAL FILTERING AND PREDICTION;

EID: 0035574924     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/acssc.2001.987698     Document Type: Conference Paper

References (9)

1. Unitary ESPRIT: How to obtain increased estimation accuracy with a reduced computational burden
2. A new identification and model reduction algorithm via singular value decomposition
3. Subspace-based multivariable system identification from frequency response data
4. ESPRIT - Estimation of signal parameters via rotational invariance techniques
5. Subspace model identification. Part I: The output-error state-space model identification class of algorithms
6. Subspace-based methods for the identification of linear time-invariant systems