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In this paper we use local Holder exponents to capture local patterns in protein sequences. The numerical sequence of a protein based on a 6-letters model of amino acids is considered as a time series, then its local Holder exponents are estimated using the wavelet transform. The probability density of local Holder exponents is then calculated. The probability density values are then taken as features...
This paper presents a new recognition method for ultra-high-frequency (UHF) signal radiated by partial discharge (PD) occurred in transformers, based on wavelet transform and fractal theory. Wavelet transform provides an effective way to decompose a signal on unlimited scales. During this process, the wavelet coefficients corresponding to each scale are obtained, which could be considered as an accurate...
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