Identification of LPTV systems in the frequency domain

Digital Signal Processing: A Review Journal

Volumn 21, Issue 1, 2011, Pages 25-35

  Yin, Wutao ^a   Saadat Mehr, Aryan ^a  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

DFT; Least squares estimation; LPTV

Indexed keywords

CRAMER-RAO BOUNDS; DISCRETE FOURIER TRANSFORMS; FREQUENCY DOMAIN ANALYSIS; LEAST SQUARES APPROXIMATIONS; TIME SHARING SYSTEMS;

CRAMER-RAO LOWER BOUND; FREQUENCY DOMAINS; IDENTIFIABILITY; IDENTIFICATION METHOD; LEAST SQUARES; LEAST SQUARES ESTIMATION; LINEAR PERIODICALLY TIME VARYING SYSTEMS; LPTV;

TIME VARYING CONTROL SYSTEMS;

EID: 78649931839     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dsp.2010.08.001     Document Type: Article

References (22)

1. T. Chen, and L. Qiu Linear periodically time-varying discrete-time systems: aliasing and LTI approximations Syst. Control. Lett. 30 1997 225 235
2. G. Gelli, and F. Verde Blind FSR-LPTV equalization and interference rejection IEEE Trans. Commun. 51 2003 145 150
3. A. Saadat Mehr, and T. Chen On alias-component matrices of discrete-time linear periodically time-varying systems IEEE Signal Process. Lett. 8 2001 114 116
4. F.J. Harris Multirate Signal Processing for Communication Systems 2004 Prentice-Hall
5. P.P. Vaidyanathan Multirate System and Filter Banks 1993 Prentice-Hall
6. A. Saadat Mehr, and T. Chen Representations of linear periodically time-varying and multirate systems IEEE Trans. Signal Process. 50 2002 2221 2227
7. R. Shenoy, D. Burnside, and T.W. Parks Linear periodic systems and multirate filter design IEEE Trans. Signal Process. 42 1994 2242 2251
8. G. Wang Analysis of M-channel time-varying filter banks Digital Signal Process. 18 2008 127 147
9. M. Abo-Zahhad Current state and future directions of multirate filter banks and their applications Digital Signal Process. 13 2003 127 147
10. M.J.T. Smith, and T.P. Barnwell A new filter bank theory for time-frequency representation IEEE Trans. Acoust. Speech Signal Process. 35 1987 314 327
11. Z.T. Staroszczyk Power system time variance-LPTV model implementation and identification problems 11th Int. Conf. on Harmonics and Quality of Power 2004 658 665
12. G.B. Giannakis, A.V. Dnizdawate, Polyspectral analysis of (almost) cyclostationary signals: LPTV system identification and related applications, in: Proc. 25th Asilomar Conf. on Signals, Systems and Computers, vol. 1, 1991, pp. 377-382.
13. Y. Dorfan, A. Feuer, and B. Porat Modeling and identification of LPTV systems by wavelets Signal Process. 84 2004 1285 1297
14. M.K. Tsatsanis, and G.B. Giannakis Time-varying system identification and model validation using wavelets IEEE Trans. Signal Process. 41 1993 3512 3522
15. M. Verhaegen, and X. Yu A class of subspace model identification algorithms to identify periodically and arbitrarily time-varying systems Automatica 31 1995 206 216
16. J. Wang, and T. Chen Multirate sampled-data systems: compute fast-rate models J. Process Control 14 2004 79 88
17. L.L. Scharf Statistical Signal Processing: Detection, Estimation, and Time Series Analysis 1991 Addison-Wesley Publ. Co.
18. P.P. Vaidyanathan, Multirate digital filters, filter banks, polyphase networks, and applications: A tutorial, in: Proc. of IEEE, vol. 78, 1990, pp. 56-78.
19. P.P. Vaidyanathan, and A. Kirac Cyclic LTI systems in digital signal processing IEEE Trans. Signal Process. 45 1999 433 447
20. S. Kay Statistical Signal Processing: Estimation Theory 1993 Prentice-Hall
21. G. Xu, H. Liu, L. Tong, and T. Kailath A least-square approach to blind channel identification IEEE Trans. Signal Process. 43 1995 2982 2992
22. A.H. Sayed Fundamentals of Adaptive Filtering 2003 Wiley/IEEE Press