A new method for implementing complex wavelet transform (CWT) based on analog sampled-data circuit and singular value decomposition (SVD) algorithm is presented. To begin with, the real and imaginary parts functions of the complex wavelet base are approximated by using SVD algorithm. As the main advantage of this approximation approach is its computational simplicity and general applicability. ...

In this paper, a three Degrees of Freedom (DOF) model of a quarter vehicle suspension system is proposed including the seat driver mass. The modal parameters of this system, which indicate the comfort and the safety of the suspension, are identified using Wavelet analysis. Two applications of wavelet analysis are presented: signal denoising based on the Discrete Wavelet Transform (DWT) and moda...

In 1938 our total supplies of bacon and ham were 10,727,600 cwt., of which 1,507,100 came from Canada and 552,500 came from Eire. Australia and New Zealand between them sent us about 300,000 cwt. of frozen pork which was manufactured as Empire bacon in the United Kingdom. Commonwealth supplies thus accounted for 22% of our total supplies, During the past 12 months our total supplies of bacon ha...

Image denoising is an important step in eliminating any noise impact image transmission process. Recently we presented two approaches for Bivariate based denoising. They were Double Density Discrete Wavelet Transform (DD DWT) and Dual Tree Complex CWT). In both techniques decomposed noisy images with either DD DWT or CWT decompositions then applied the technique removal. this paper propose adap...

In this paper, we propose a novel face recognition method for the one sample problem. This approach is based on local appearance feature extraction using directional multiresolution decomposition offered by dual tree complex wavelet transform (DT-CWT). It provides a local multiscale description of images with good directional selectivity, effective edge representation and invariance to shifts a...

The Resolution enhancement (RE) schemes (which are not based on wavelets) has one major drawback of losing high frequency contents (which results in blurring). The discrete wavelettransform-based (DWT) RE scheme generates artifacts (due to a DWT shift-variant property). A wavelet-domain approach based on dual-tree complex wavelet transform (DT-CWT) and nonlocal means (NLM) is proposed for RE of...

This study evaluated the efficacy of adding contingency management techniques to vocational rehabilitation (VR) to improve treatment outcome as measured by entry into competitive employment. Nineteen dually diagnosed veterans who entered VR in the Veterans' Administration's compensated work therapy (CWT) program were randomly assigned to CWT (n = 8) or to CWT with enhanced incentives (n = 11). ...

A dual tree complex wavelet transform (DT -CWT)based directional interpolation scheme for denoising of noisy images is proposed . The problems of denoising and interpolation are modeled as to estimate the noiseless and missing samples under the same framework of optimal estimation. Initially, DT -CWT is used to decompose an input low-resolution noisy wage irito low and high frequency subbands. ...

In this paper, we propose a novel local appearance feature extraction method based on multi-resolution Dual Tree Complex Wavelet Transform (DT-CWT). Each face is described by a subset of band filtered images containing block-based DT-CWT coefficients. These coefficients characterize the face texture. The block based mean and variance of complex wavelet coefficients are used to describe the face...

Various time-frequency methods have been used to study time-varying properties of non-stationary neurophysiological signals. In the present study, a time-frequency coherence estimate using continuous wavelet transform (CWT) together with its confidence intervals are proposed to evaluate the correlation between two non-stationary processes. The approach is based on averaging over repeat trials. ...