In this article we propose a novel Wavelet Packet Decomposition (WPD)-based modification of the classical Principal Component Analysis (PCA)-based face recognition method. The proposed modification allows to use PCA-based face recognition with a large number of training images and perform training much faster than using the traditional PCA-based method. The proposed method was tested with a dat...

Accurate and consistent annual runoff prediction in a region is hot topic management, optimization, monitoring of water resources. A novel model (ESMD-SE-WPD-LSTM) presented this study. Firstly, extreme-point symmetric mode decomposition (ESMD) used to produce several intrinsic functions (IMF) residual (Res) by decomposing the original series. Secondly, sample entropy (SE) method employed measu...

Motor imagery EEG (MI-EEG), which reflects one’s active movement intention, has attracted increasing attention in rehabilitation therapy, and accurate and fast feature extraction is the key problem to successful applications. Based on wavelet packet decomposition (WPD) and SE-isomap, an adaptive feature extraction method is proposed in this paper. The MI-EEG is preprocessed to determine a more ...

This study addresses the challenges of limited fault samples, noise interference, and low accuracy in existing diagnosis methods for three-phase inverters under real acquisition conditions. To increase number Wavelet Packet Decomposition (WPD) denoising a Conditional Variational Auto-Encoder (CVAE) are used sample enhancement based on faulty samples. The resulting dataset is then normalized, pr...

Engine knock determination has been conducted in various ways for spark timing calibration. In the present study, a classification model was developed using machine learning algorithm. Wavelet packet decomposition (WPD) and ensemble empirical mode (EEMD) were employed characterization of in-cylinder pressure signals from experimental engine. The WPD used to calculate 255 features seven levels. ...

An image compression algorithm based on wavelet packet transform is introduced. The algorithm extends the parent-children link established across dyadic wavelet decomposition bands to a parent-children link across wavelet packet decomposition bands. Then, a method proposed for the efficient encoding of dyadic wavelet transform coefficients [1] is used for encoding of wavelet packet transform co...

Driving fatigue is more likely to bring serious safety trouble to traffic. Therefore, accurately and rapidly detecting driving fatigue state and alleviating fatigue are particularly important. In the present work, the electrical stimulation method stimulating the Láogóng point (PC8) of human body is proposed, which is used to alleviate the mental fatigue of drivers. The wavelet packet decomposi...

Based on the characteristics of partial discharge (PD) defects in gas insulated switchgear (GIS), four typical single defects were designed for the present paper. PD three-dimensional (3D) patterns were constructed based on the ultra high frequency detection systems. The pulse-coupled neural networks (PCNN) and wavelet packet decomposition (WPD) method were used in PD feature extraction. The re...

In order to make the analog fault classification more accurate, we present a method based on the Support Vector Machines Classifier (SVC) with wavelet packet decomposition (WPD) as a preprocessor. In this paper, the conventional one-against-rest SVC is resorted to perform a multi-class classification task because this classifier is simple in terms of training and testing. However, this SVC need...