Search Results

Brain-Computer Interface is the collaboration of the human brain and a device that controls the actions of a human using brain signals. Applications of brain-computer interface vary from the field of entertainment to medical. In this article, a novel ...

Vocal fold paralysis is a common type of laryngeal diseases, and it is fundamental different from vocal fold non-paralysis (including vocal fold nodules, polyps, etc.). Based on the differences between the various of laryngeal diseases, a classification ...

The life assessment and prediction research of the bearing is the most important content of the bearing long life and high reliable research. A novel remaining useful life prediction of bearing model that is deep learning based on deep perceptron neural ...

The human-machine interface (HMI) constructs novel interactions between human and machines, which usually focuses on complex, dynamic control systems for some special surroundings such as the outer space. This paper introduces a human-machine interface ...

Technological advancement of measurement systems has enhanced the accuracy of power quality assessment by using a combination of measured information. This paper proposes a novel approach for estimating power quality based on information fusion ...

In this article, the characteristics, theories and classification of the threshold de-noising method are introduced in detail. According to the study, when wavelet threshold de-noising method is compared with the wavelet packet threshold de-noising ...

Torpedo fuze signal denoising is an important action to ensure reliable operation of fuze. Based on the good characteristics of wavelet packet transform (WPT) in signal denoising, the paper used wavelet packet transform to denoise the magnetic fuze ...

Wavelet packet transform (WPT) is a useful tool for time-frequency analysis. The WPT based on discrete wavelet transform (DWT) has a well-known problem. It is called shift-variance behavior. It varies the energy of DWT result and fails to detect a ...

In view of the complex time-varing signal pattern recognition, the method of water flooded layer recognition based on wavelet packet transform and support vector machine had been proposed in this paper. According to the multi-resolution characteristics ...

For high-dimensional chaotic time series forecasting, the nonlinear approximation ability of low-order Volterra filter is limited while the modeling process of high-order one is very complicated and unfeasible. Since these shortcomings above, this paper ...

A novel calibration model has been proposed for synchronous, rapid and non-destructive determination the content of adenosine and protein in the Cordyceps gunnii mycelia powder by near infrared spectroscopy. This model is a combination of wavelet packet ...

A novel de-noising method based on BEMD (Bi-dimensional Empirical Mode Decomposition) and wavelet packet transform-wiener filter was proposed. Firstly, BEMD was applied to decompose the preprocessed palm print image including noise into a group of IMFs (...

This paper mainly deals with the issue of incipient fault diagnosis for rolling element bearing. Firstly, an envelope demodulation technique based on wavelet packet transform and energy operator is applied to extract the fault feature of vibration ...

The purpose of this study is to detect the cracks of the banana vibration screen beam by wavelet transform. A single-cracked beam with single crack is evaluated by means of discrete wavelet packet transform in the present research, in which wavelet ...

Bearing race faults have been detected by using wavelet packet transform (WPT) technique, combined with a feature selection of energy spectrum. Vibration signals from ball bearings having defects on inner race and outer race have been considered for ...

This study presents a comparative analysis of wavelets, in order to find a descriptor that provides a better classification of voice pathologies. Different types of Wavelet Packet Transform were used as a tool for feature extraction and Support Vector ...

In this paper, a damage detection algorithm based on the fuzzy clustering and support vector machine is presented. First, the acceleration data are decomposed by the wavelet packet transform to extract the wavelet packet component energy, which is used ...

A novel approach in distribution protection technique of fault line selection is presented based on transient signals detected with the wavelet transform maximal module in this paper. The characteristic frequency band of each line, in which the maximal ...

We develop an algorithm, the joint time-frequency segmentation algorithm, where the wavelet packet coefficients of the analyzed speech signal are represented as tiles of a time-frequency representation adapted to the characteristics of the signal ...

We develop an algorithm, the joint time-frequency segmentation algorithm, where the wavelet packet coefficients of the analyzed speech signal are represented as tiles of a time-frequency representation adapted to the characteristics of the signal ...