This research investigates the co-movement of Stock Market Returns between China and Pakistan in prospective Economic Corridor. In this study, individual power spectrum, cross wavelet coherence are used for analyzing stock returns Shanghai at aggregate level. Wavelet methodology enables simultaneous examination behavior a time-series both frequency time spaces. The daily data study is retrieved...

The coherent secondary flow structures (i.e., swirling motions) in a curved artery model possess a variety of spatio-temporal morphologies and can be encoded over an infinitely-wide range of wavelet scales. Wavelet analysis was applied to the following vorticity fields: (i) a numerically-generated system of Oseen-type vortices for which the theoretical solution is known, used for bench marking ...

AbsrroctMulti-channel recording of electroencephalogram (EEG) provides a measure of spatial-temporal pattern of cognitive processes. When oscillatory activities are going to he studied, the limcdomain EEG signal can be analyzed Yia Fourier or wavelet transform. However the loss of temporal information after Fourier transform and the nnavailahility of phase information in wavelet transform limit...

In this paper, we have carried out the detail studies of pre-cancer by wavelet coherency and multifractal based detrended fluctuation analysis (MFDFA) on differential interference contrast (DIC) images of stromal region among different grades of pre-cancer tissues. Discrete wavelet transform (DWT) through Daubechies basis has been performed for identifying fluctuations over polynomial trends fo...

ABSTRACT. Image enhancement of retinal structures, in optical coherence tomography (OCT) scans through denoising, has the potential to aid in the diagnosis of several eye diseases. In this paper, a locally adaptive denoising algorithm using double-density dual-tree complex wavelet transform, a combination of the double-density wavelet transform and the dual-tree complex wavelet transform, is ap...

Radar images are affected by a multiplicative noise depending on the underlying signal (the ground reflectivity) due to the coherence of the radar wavelength. Images present a strong pixel to pixel variability considerably reducing the efficiency of target detection and classification algorithms. We propose in this study filtering this noise using image multiresolution analysis. The value of th...

Synthetic aperture radar (SAR) images are disturbed by a multiplicative noise depending on the signal (the ground reflectivity) due to the radar wave coherence. Images have a strong variability from one pixel to another reducing essentially the efficiency of the algorithms of detection and classification. We propose to filter this noise with a multiresolution analysis of the image. The wavelet ...

We present an original wavelet-based compression algorithm for sequences of 3D meshes with fixed connectivity. This algorithm, based on a temporal lifting scheme exploits the high temporal coherence of the geometry of successive frames in order to reduce the information needed to represent the original sequence. The resulting sets of wavelet coefficients are then optimally quantized by the mean...