Pattern Recognition Using Adaptive Schur-Like Parametrization of Signals with Forgetting Factor

摘要

The paper presents a feature extraction method for signal classification tasks. The proposed method is based on linear adaptive Schur-like parametrization. The parametrization performance depends on a forgetting factor. The impact of forgetting factor, used in the adaptive procedure, on the quality of recognition was tested on well-known benchmark data.