We propose an adaptive multistage classification scheme, based on the principle of
multiresolution, using a naturally hierarchical wavelet representation of signals. The use of …

The paper presents wavelet based fault detection method and the analysis of error rates.
The proposed method is based on signal representations in Daubechies wavelet bases. For …

For high-dimensional data processing, like pattern recognition, it seems desirable to
precede with a reduction of the number of describing features. Our aim is a comparison of …

The aim of signal decomposition in wavelet bases is to represent a signal as a sequence of
wavelet coefficients sets. There is proposed a multistage classification rule using on every …

We propose a multistage pattern recognition algorithm with a reject option. On every stage,
the presented algorithm chooses a class of signal or rejects the signal, ie refuses to make a …

The main aim of this paper is to show applications of a wavelet transform for an automatic
signal classification and de-noising. We show that the wavelet decomposition of signal can …

Artykuł przedstawia wyniki eksperymentalnego badania zaleznosci miedzy wielkosci a
modelu a wartosci a ryzyka błednego rozpoznawania sygnałów. Eksperyment został …