1 Facultatea de Electronică şi Telecomunicaţii, Departamentul Comunicaţii Bd. V. Pârvan Nr. 2, 300223 Timişoara, e-mail [email protected] Abstract – The discrete wavelet transform can be used to process continuous-time signals. To use it, the initialization errors must be minimized. This is the aim of this paper. The results are justified and are presented in a unitary manner. We give a st...

This work underlines the ability of the discrete wavelet transform to recover sensor signals subjected to drift effects. The drift resides in low requencies, so that it is needed to reveal the signal trend. So far, discrete wavelet transform (DWT) is an efficient tool for pre-processing drifting ensor responses as this technique provides a multi-scale processing analysis where the signal is spl...

Although Fourier and Wavelet Transform have been widely used for texture classification methods in medical images, the discrimination performance of FDCT has not been investigated so far in respect to breast cancer detection. Ιn this paper, three multi-resolution transforms, namely the Discrete Wavelet Transform (DWT), the Stationary Wavelet Transform (SWT) and the Fast Discrete Curvelet Transf...

There are generally two algorithms to traverse an image to implement the 2D Discrete Wavelet Transform (DWT), namely Row-Column Wavelet Transform (RCWT) and Line-Based Wavelet Transform (LBWT). In the RCWT algorithm, the 2D DWT is divided into two 1D DWT: horizontal and vertical filtering. The horizontal filtering processes the rows of the original image and stores the wavelet coefficients in a...

A new, wavelet-based, non-intrusive method for speech transmission quality measurements is described in the abstract. It models human perception of quality of transmitted speech signal. The deployed Discrete Wavelet Transform, in comparison with Fourier Transform, enables to reduce the computational power. In comparison with standardized methods (based on ITU-T P.563 algorithms), the described ...

The aim of this paper is a complete statistical analysis of the two dimensional discrete wavelet transform, 2D DWT. This analysis represents a generalization of the statistical analysis of the 1D DWT, already reported in literature. The probability density function, the correlation and the first two moments of the coefficients of the 2D-DWT are computed. The asymptotic behaviour of this transfo...

We study here the behaviour of the first three eigenvalues (λ1, λ2, λ3) and their ratio [(λ1/λ2), (λ1/λ3), (λ2/λ3)] of the covariance matrices of the original return series and of those rebuilt from wavelet components for emerging and mature markets. It has been known for some time that the largest eigenvalue (λ1) contains information on the risk associated with the particular assets of which t...

| Speckle noise is an inherent property of SAR images. The discrete wavelet transform results in sub-band decompositions of SAR images which have Laplacian point statistics. We propose a Bayesian estimator to perform speckle reduction. We evaluate the speckle reduction results using two measurements: standarddeviation-to-mean ratio and target-to-clutter ratio. We show that good speckle reductio...

This paper investigates the use of discrete wavelet transform in temporal video compression. The proposed method has the advantage of being independent of the number of frames. After decompression, it also reproduces video images that have relatively high quality of visualization.

This paper exploited the various mother wavelets for fault detection. A different value of fault resistances analyzed on different types of mother wavelets. Comparisons are made based on the sum of coefficients in multi resolution signal decomposition (MSD) using Discrete Wavelet Transform (DWT). Based on the extensive investigations on different value of fault resistance in Line-Ground (L-G) f...