This paper proposes a hybrid multi-step-ahead forecasting model based on two stages to improve monthly pelagic fish-catch time-series modeling. In the first stage, the stationary wavelet transform is used to separate the raw time series into a high frequency (HF) component and a low frequency (LF) component, whereas the periodicities of each time series is obtained by using the Fourier power sp...

Introduction: An efficient method of tomographic imaging in nuclear medicine is positron emission tomography (PET). Compared to SPECT, PET has the advantages of higher levels of sensitivity, spatial resolution and more accurate quantification. However, high noise levels in the image limit its diagnostic utility. Noise removal in nuclear medicine is traditionally based on Fourier decomposition o...

In this paper, we propose a method for 2D partial shape recognition under affine transform using the discrete dyadic wavelet transform invariant to translation well known as Stationary Wavelet Transform or SWT. The method we propose here is about partial shape matching and is based firstly on contour representation using the wavelet transform. A technique of sub matrix matching is then used to ...

This paper presents a computational algorithm for identifying power frequency variations and integer harmonics by using waveletbased transform. The continuous wavelet transform (CWT) using the complex Morlet wavelet (CMW) is adopted to detect the harmonics presented in a power signal. A frequency detection algorithm is developed from the wavelet scalogram and ridges. A necessary condition is es...

The wavelet transform is a very useful tool for analyzing signals with self-similar behavior by virtue of the fact that the wavelet basis itself displays self similar properties. Recordings of mean arterial pressure in conscious dogs that had been shown to exhibit non-linear deterministic behaviour (self-similar characteristics) were used for analysis. We applied a redundant wavelet transform t...

In this paper we present a new SWT based algorithm for electronic digital image stabilization application. In our proposed algorithm, we first estimate the translational motion by projecting the vertical and horizontal details of stationary wavelet decomposition in level 2. These parameters are used as initial estimation of motion's parameters. Then, we use several feature points and a gradient...

This paper proposes a novel and effective geometric invariant shape representation based on Radon and adaptive stationary wavelet transforms. The proposed representation is invariant to general geometrical transformations. Instead of analyzing shapes directly in the spatial domain, the proposed method extracts shape translation and scale invariant features in radon transform domain by statistic...

In this paper, a novel image fusion algorithm based on orientation information measure and lifting stationary wavelet transform (LSWT) is proposed, aiming at solving the fusion problem of multifocus images. In order to select the coefficients of the fused image properly, the selection principles for different subbands are discussed, respectively. For choosing the low frequency subband coefficie...