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A major limiting step in the creation of systems biology models is the determination of appropriate parameter values that fit available experimental data. Parameter identification is hindered by the experimental difficulties in examining biological systems and the growing size and complexity of nonlinear models. In addition, the majority of systems biology models are dasiasloppy,psila allowing many...
In this paper a new robust recursive method of estimating the linear prediction parameters of an auto-regressive speech signal model using weighted least squares with variable forgetting factors (VVFs) is described. The proposed robust recursive least-squares (RRLS) method differs from the conventional recursive least-squares (RLS) method by the insertion of a suitably chosen nonlinear transformation...
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