Many transform based image compression methods have been experimented till now. This paper proposes novel image compression method using hybrid slant transform. Slant transform is used as base transform to focus on global features of an image. Sinusoidal orthogonal transforms like DCT, DST, Hartley and Real-DFT are paired with slant transform to generate hybrid slant wavelet transform. Performa...

The occurrence of cycle slips is a major limiting factor for achievement of sub-decimeter accuracy in positioning with GPS (Global Positioning System). In the past, several authors introduced a method based on different combinations of GPS data together with Kalman filter to solve the problem of the cycle slips. In this paper the same philosophy is used but with discrete wavelet transforms. For...

In this series of eight papers we present the applications of methods from wavelet analysis to polynomial approximations for a number of accelerator physics problems. In this part we consider the applications of discrete wavelet analysis technique to maps which come from discretization of continuous nonlinear polynomial problems in accelerator physics. Our main point is generalization of wavele...

in this paper, a fault diagnosis system based on discrete wavelet transform (dwt) and artificial neural networks (anns) is designed to diagnose different types of fault in gears. dwt is an advanced signal-processing technique for fault detection and identification. five features of wavelet transform rms, crest factor, kurtosis, standard deviation and skewness of discrete wavelet coefficients of...

Although the discretized continuous wavelet transform enables the computation of the continuous wavelet transform by computers, it is not a true discrete transform. As a matter of fact, the wavelet series is simply a sampled version of the CWT, and the information it provides is highly redundant as far as the reconstruction of the signal is concerned. This redundancy, on the other hand, require...

In this paper, a fault diagnosis system based on discrete wavelet transform (DWT) and artificial neural networks (ANNs) is designed to diagnose different types of fault in gears and bearings. DWT is an advanced signal-processing technique for fault detection and identification. Five features of wavelet transform RMS, crest factor, kurtosis, standard deviation and skewness of discrete wavelet co...

An algorithm for multiresolutional multisensor target identiication is presented. It uses the computationally eecient scale sequential approach to hypothesis testing during identiication and implements the inverse discrete wavelet transform to fuse data from diierent multires-olution sensors. We show that fusion leads to an increase in the probability of correct identiication without a signiica...

We present multiresolution spaces of complex rotation-covariant functions, deployed on the 2-D hexagonal lattice. The designed wavelets, which are complex-valued, provide an important phase information for image analysis, which is missing in the discrete wavelet transform with real wavelets. Moreover, the hexagonal lattice allows to build wavelets having a more isotropic magnitude than on the C...

This paper presents a review on application of wavelet transform for condition monitoring and fault diagnosis of mechanical equipment. The discrete wavelet transform performs a multilevel signal decomposition to extract fault features from the vibration signal. A review on all the literature of condition monitoring using wavelet transform is certainly not possible. The purpose of this review pa...