Starting from the traditional definition of auto-correlation function we can introduce a new quantity, based on the wavelet formalism, called local wavelet auto-correlation function which contains more information about the correlation properties of a given signal on different scales. The application of this formalism to the temporal variations of solar activity, from the monthly time series of...

abstract-due to the important role productivity plays in future decision making and programming, the productivity indexes should have accurate quantities. in this study, auto-regressive distributed lag (ardl) and genetic algorithm (ga) methods are applied to time series of 1978-2008 to accurately measure total factor productivity (tfp) in the agricultural sector of iran. the comparison of these...

OBJECTIVE To analyze the dengue epidemic in relation to the socioeconomic context according to geographical areas. METHODS An ecological study was conducted in the municipality of Rio de Janeiro (Southeastern Brazil), in areas delimited as neighborhoods, based on information about notified dengue cases concerning residents in the municipality. The average incidence rate of dengue was calculat...

Kriging is a powerful spatial interpolation technique, especially for irregularly spaced data points, and is widely used throughout the earth and environmental sciences. The estimation at an unsampled location is given as the weighted sum of the circumjacent observed points. The weighting factors depend on a model of spatial correlation. Calculation of the weighting factors is done by minimizin...

A large portion of the data that is collected in various application domains such as online social networking, finance, biomedicine, etc. is relational in nature. A subfield of Machine Learning namely; Statistical Relational Learning (SRL) is concerned with performing statistical inference on relational data. A defining property of relational data that separates it from independently and identi...

Neurons that respond selectively to the orientation of visual stimuli were discovered in V1 more than 50 years ago, but it is still not fully understood how or why this is brought about. We report experiments planned to show whether human observers use cross-correlation or auto-correlation to detect oriented streaks in arrays of randomly positioned dots, expecting that this would help us to und...

background: the primary objective of this study was to determine the association between risk factors and the prevalence of musculoskeletal disorder (msd) among auto repair mechanics in klang valley, malaysia. methods: overall, 191 mechanics from eight auto repair centers in klang valley, malaysia were stratified sampling as participants of this study. a modified version of the general standard...

Recently a self-calibrating SMASH technique, AUTO-SMASH, was described. This technique is based on PPA with RF coil arrays using auto-calibration signals. In AUTO-SMASH, important coil sensitivity information required for successful SMASH reconstruction is obtained during the actual scan using the correlation between undersampled SMASH signal data and additionally sampled calibration signals wi...

We summarize the properties of the auto-correlation functions of compactly supported wavelets, their connection to iterative interpolation schemes, and the use of these functions for multiresolution analysis of signals. We briefly describe properties of representations using dilations and translations of these autocorrelation functions (the auto-correlation shell) which permit multiresolution a...