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Operational Research Quarterly (1970-1977), 1976
The adaptive filtering technique has recently been proposed as a method for short-to medium-term forecasting. The present note demonstrates some of the shortcomings implicit in the theory and gives illustrative examples.
Golder, E. R., Settle, J. G.
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The adaptive filtering technique has recently been proposed as a method for short-to medium-term forecasting. The present note demonstrates some of the shortcomings implicit in the theory and gives illustrative examples.
Golder, E. R., Settle, J. G.
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1993 IEEE International Symposium on Circuits and Systems, 2002
The application of the conjugate gradient (CG) method for the identification of bilinear systems is investigated. An algorithm based on the CG method is developed for adaptive-bilinear digital filtering. This algorithm outperforms the least mean square (LMS) and recursive least squares (RLS) methods in terms of speed of convergence.
T. Bose, M.-Q. Chen
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The application of the conjugate gradient (CG) method for the identification of bilinear systems is investigated. An algorithm based on the CG method is developed for adaptive-bilinear digital filtering. This algorithm outperforms the least mean square (LMS) and recursive least squares (RLS) methods in terms of speed of convergence.
T. Bose, M.-Q. Chen
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Numerische Mathematik, 1997
The adaptive filtering method which leads to robust algorithms for the solution of systems of linear equations arising from the discretization of partial differential equations with strongly varying coefficients is introduced and analyzed. The basis of these algorithms is the tangential frequency filtering decomposition whose theoretical results are ...
Wagner, Christian, Wittum, Gabriel
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The adaptive filtering method which leads to robust algorithms for the solution of systems of linear equations arising from the discretization of partial differential equations with strongly varying coefficients is introduced and analyzed. The basis of these algorithms is the tangential frequency filtering decomposition whose theoretical results are ...
Wagner, Christian, Wittum, Gabriel
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2007
This chapter focuses on the main aspects of adaptive signal processing. The basic concepts are introduced in a simple framework, and its main applications (namely system identification, channel equalization, signal prediction, and noise cancellation) are briefly presented.
Sergio L. Netto, Luiz W.P. Biscainho
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This chapter focuses on the main aspects of adaptive signal processing. The basic concepts are introduced in a simple framework, and its main applications (namely system identification, channel equalization, signal prediction, and noise cancellation) are briefly presented.
Sergio L. Netto, Luiz W.P. Biscainho
openaire +2 more sources