Many scientists have made use of the wavelet method in analyzing time series, often using popular free software. However, at present there are no similar easy to use wavelet packages for analyzing two time series together. We discuss the cross wavelet transform and wavelet coherence for examining relationships in time frequency space between two time series. We demonstrate how phase angle stati...

The real world phenomena being observed by sensors are generally non-stationary in nature. The classical linear techniques for analysis and modeling natural time-series observations are inefficient and should be replaced by non-linear techniques of whose theoretical aspects and performances are varied. In this manner adopting the most appropriate technique and strategy is essential in evaluatin...

Analysis of circadian oscillations that exhibit variability in period or amplitude can be accomplished through wavelet transforms. Wavelet-based methods can also be used quite effectively to remove trend and noise from time series and to assess the strength of rhythms in different frequency bands, for example, ultradian versus circadian components in an activity record. In this article, we desc...

The paper presents a genetic algorithm based on wavelet threshold medical image denoising method. Theoretically analyses the principle of wavelet threshold denoising, the improved threshold function is proposed. Using genetic algorithm combined with clustering histogram of the image information are used to get the optimal threshold, the calculation without a priori information, such as noise va...

It present the comparison of the performance of two different compression wavelet schemes namely Spatial-orientation Trees Wavelet (STW) and Adaptively Scanned Wavelet Difference Reduction (ASWDR). The paper analyses the compression schemes using gray scale image and color scale Image such that the quality of the reconstructed image. The characteristics of quality performance is calculate STW a...

An advanced continuous wavelet transform technique has been developed to automatically analyze photomechanics interferograms. This technique utilizes all possible wavelets to match the local interferogram fringes, and it can automatically detect local fringe frequencies and orientations with high accuracies. The advanced wavelet transform technique has the capability to directly determine gradi...