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Can I read Recent Developments in Optimal Bounding Ellipsoidal Parameter Estimation on EtoBox?
Recent Developments in Optimal Bounding Ellipsoidal Parameter Estimation by Ashok K. Rao; Yih-Fang Huang is a Engineering article available to read on EtoBox.
What is Recent Developments in Optimal Bounding Ellipsoidal Parameter Estimation about?
The Optimal Bounding Ellipsoid (OBE) algorithms are viable alternatives to conventional adaptive filtering algorithms in situations where the noise does not satisfy the usual stationarity and whiteness assumptions. An example is shown in which the performance of an OBE algorithm is seen to be markedly superior to that of the recursive least-squares algorithm. Subsequently, an overview of some recent work in the area of OBE parameter estimation is presented. A lattice filter implementation of one particular OBE algorithm is first described. The extension of the OBE algorithm to the estimation of parameters of ARMA models is performed and the results of a convergence analysis are presented. It is demonstrated through a simulation example that the transient performance of the proposed algorithm is superior to that of the well-known extended least-squares algorithm.
Who reads Recent Developments in Optimal Bounding Ellipsoidal Parameter Estimation?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Ashok K. Rao; Yih-Fang Huang
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0378-4754)
- Published
- 1990
- Field
- Engineering (Physical Sciences)