Home   >   CSC-OpenAccess Library   >    Manuscript Information
Pre-Filtering In Robust Model Estimation-A Brief Tour
Dalvinder Kaur, Lillie Dewan
Pages - 254 - 261     |    Revised - 30-06-2010     |    Published - 10-08-2010
Volume - 4   Issue - 3    |    Publication Date - July 2010  Table of Contents
Pre-filtering , Nonarithmatic filters , Gaussian noise , Moving average , Robust H‡ filtering
Presence of noise has significant effect on the system identification and parameter estimation. To have accurate system models cleaner data is required which can be obtained if noise is reduced by prefiltering In this paper an attempt has been made to survey the literature on the prefiltering methods in system identification.
1 Google Scholar 
2 Academic Journals Database 
3 CiteSeerX 
4 refSeek 
5 iSEEK 
6 Socol@r  
7 ResearchGATE 
8 Libsearch 
9 Bielefeld Academic Search Engine (BASE) 
10 Scribd 
11 WorldCat 
12 SlideShare 
14 PdfSR 
15 Chinese Directory Of Open Access 
B. Friedlander and B. Porat. “The modified Yula- Walker method of ARMA spectral estimation". IEEE Tran. Aerospace and Electronic Syst., 20:158-173, Mar. 1984.
Haykin, S.S. “Adaptive Filter Theory”. 2nd ed. Englewood Cliffs, New Jersey: Prentice-Hall, 1991.
J. C. Geromel, M.C. De oliveira, and J. Bernussou. “Robust filtering of descrete -time linear systems with parameter dependent Lyapunov functions”. SIAM J. Control optim.41 (3): 700-711, 2002.
J.J.Shynk. “Adaptive IIR Filtering”. IEEE ASP Magazine, April, 1989.
Jack J., Harris and Cheryl B. Schrader. “Application of nonarithmatic filtering techniques for improved system identification”. 37th IEEE, Florida USA, Dec. 1998.
K. Zhou, J.C. Doyle, and K. Glover. “Robust and Optimal control”. Upper Saddle River, NJ: Prentice-Hall, 1996.
L. EI Ghaoui and G. Calafiore. “Robust filtering for descrite-time systems with bounded noise and parametric uncertainty”. IEEE Trans. Autom. Control, 46 (7): 1084-1089, Jul, 2001.
Ljung, L. “Svstem Identification: Theow for the User”. T. Kailith ed., New Jersey: Prentice-Hall, 1987.
Ljung, L. User’s Guide: MATLAB Svstem Identification Toolbox, The Mathworks, Inc., 1995.
Longbotham, H.G. and D. Eberly. “Statistical Properties, Fixed Points, and Decomposition with WMMR Filter”. JOW of Mathematical Imaging and Vkion: 99- 116,1992.
R. Doraiswami and W. Liu. “Real-time estimation of the parameters of power system small signal oscillations". IEEE Power Engineering Society IEEEIPES 1992, Winter Meeting, New York, USA, and also to appear in IEEE Trans. on Power Systems.
R.Kumaresan and D.W.Tufts. “Estimating the parameters of exponentially damped sinusoids and pole zero modelling in noise”. IEEE Tran. ASSP, 30: 833- 840, Dec. 1982.
R.Kumaresan and Y. Feng. “FIR prefiltering improves Prony's method". IEEE Tran. Signal Processing, 39 (2): 736-741, March, 1991.
S. Kay. “Accurate frequency estimation at low signal to noise ratio". IEEE Trans. ASSP: 540-547, June 1984.
Mr. Dalvinder Kaur
TITS, Bhiwani - India
Mr. Lillie Dewan
- India

View all special issues >>