There is an array of numerical techniques available to estimate the period of circadian and other biological rhythms. Criteria for choosing a method include accuracy of period measurement, resolution of signal embedded in noise or of multiple periodicities, and sensitivity to the presence of weak rhythms and robustness in the presence of stochastic noise. Maximum Entropy Spectral Analysis (MESA...

This paper investigates the use of generalized lifting to increase the sparseness of wavelet decompositions with application to image representation and coding. As in the bandelet approach, the strategy consists in applying first a separable wavelet decomposition and then in processing the details subbands to further decorrelate the signal representation. For this second step, we use a generali...

Discrete Wavelet Transform has been widely used in image compression because it is able to compact frequency and spatial localization of image energy into a small fraction of coefficients. In recent years coefficient sign coding has been used to improve image compression. The potential correlation between the sign of a coefficient and the signs of its neighbors opens the possibility to use a si...

Abstract. Recent inverse solutions obtained from some geoscience applications are presented. The estimation of the vertical atmospheric temperature from radiaces at infrared wavelenth is computed employing artificial neural networks, where good retrievals are obtained. A source-repector strategy is used for identifying the atmospheric pollutant source, where the Lagrangian particle model is app...

During the image edge detection with mathematical morphology, using single form and single scale of structural element will lose the information of other forms of elements. And the ability of anti-noise is weak. An adaptive algorithm for image edge detection based on multistructural and multi-scale is proposed in this paper. For single form of structural element, we add weight coefficients on e...

In fuzzy set theory, it is well known that a triangular fuzzy number can be uniquely determined through its position and entropies. In the present communication, we extend this concept on triangular intuitionistic fuzzy number for its one-to-one correspondence with its position and entropies. Using the concept of fuzzy entropy the estimators of the intuitionistic fuzzy regression coefficients h...

This paper presents an efficient feature extraction method based on discrete wavelet transform for the classification of the power quality disturbances. Firstly, the decomposition coefficients are obtained by applying 10-level wavelet multi resolution analysis to the signals (normal, sag, swell, outage, harmonic, sag with harmonic and swell with harmonic) generated by using the parametric equat...

Background: Developing an accurate computer-aided diagnosis (CAD) system of MR brain images is essential for medical interpretation and analysis. In this study, we propose a novel automatic CAD system to distinguish abnormal brains from normal brains in MRI scanning. Methods: The proposed method simplifies the task to a binary classification problem. We used discrete wavelet packet transform (D...

Background: Developing an accurate computer-aided diagnosis (CAD) system of MR brain images is essential for medical interpretation and analysis. In this study, we propose a novel automatic CAD system to distinguish abnormal brains from normal brains in MRI scanning. Methods: The proposed method simplifies the task to a binary classification problem. We used discrete wavelet packet transform (D...

Compression with Reversible Embedded Wavelets (CREW), introduced at DCC 95, consists of three major parts: a wavelet transform, an embedded context model, and a binary entropy coder. The wavelet transform is a special implementation of high quality wavelet which provides perfect reconstruction with finite precision coefficients. The context model describes the wavelet coefficients in a particul...