Recent advancements in sensor technology have resulted the collection of massive amounts measured data from structures that are being monitored. However, these include inherent measurement errors often cause assessment quantitative damage to be ill-conditioned. Attempts incorporate a probabilistic method into model provided promising solutions this problem by considering uncertainties as random...

In this article, we investigate the application of wavelet packet transform as a novel spectrum sensing approach. The main attraction for wavelet packets is the tradeoffs they offer in terms of satisfying various performance metrics such as frequency resolution, variance of the estimated power spectral density (PSD) and complexity. The results of the experiments show that the wavelet based appr...

The aim of this paper is to study wavelet frame packets in which there are many frames. It is a generalization of wavelet packets. We derive few results on wavelet frame packets and have obtained the corresponding frame bounds.

In wavelet-based image coding the choice of wavelets is crucial and determines the coding performance. Current techniques use computationally intensive search procedures to find the optimal basis (type, order and tree). In this paper, we show that searching for optimal wavelet does not always offer a substantial improvement in coding performance over "good" standard wavelets. We propose some gu...

The proposed contribution describes a method for the detection and classification of harmonic transients, as they occur in electrical networks. The method uses, as bases, a special class of wavelet-packets, i. e. smooth biorthogonal sine and cosine-packets in order to find the best ’’Shannon-basis“. The algorithm is based on the minimization of Shannon‘s function for the decomposed wanted signa...

In order to provide an accurate and rapid target recognition method for some military affairs, public security, finance and other departments, this paper studied firstly a variety of fuzzy signal, analyzed the uncertainties classification and their influence, eliminated fuzziness processing, presents some methods and algorithms for fuzzy signal processing, and compared with other methods on ima...

The existence of recorded accelerograms to perform dynamic inelastic time history analysis is of the utmost importance especially in near-fault regions where directivity pulses impose extreme demands on structures and cause widespread damages. But due to the scarcity of recorded acceleration time histories, it is common to generate proper artificial ground motions. In this paper an alternative ...

In this paper, we discuss the B-spline wavelets introduced by Chui and Wang in [1]. The definition for B-spline wavelet packets is proposed along with the corresponding dual wavelet packets. The properties of B-spline wavelet packets are also investigated.

Sleep is the most important physiological process related to human health. The development of society has accelerated pace people’s lives and also increased life pressure. As a result, more people suffer from reduced sleep quality, resulting diseases are increasing. In response this problem, study proposes quality detection management method based on electroencephalogram (EEG). mainly achieved ...

The accurate localization of the rolling element failure is very important to ensure reliability rotating machinery. This paper proposes an efficient and anti-noise fault diagnosis model for elements. proposed composed feature extraction, selection classification. Feature extraction signal processing noise reduction. Signal carried out by local mean decomposition (LMD), reduction performed prod...