A curvelet is a new and effective spectral transform, that allows sparse representations of complex data. It has many applications in several fields, including denoising, wave propagation in disordered media and pattern recognition. This spectral technique is based on directional basis functions...

Since two of the most important disadvantages of the classical nonlinear regression methods, such as Levenberg-Marquardt (LM), are to calculate error derivative function and use an initial point to get the results, PSO algorithm, which lies in the category of population based meta-heuristic...

This paper attempts to offer specific inputs to the debate on local content promotion in the oil industry, using the specific case of São Tomé and Príncipe as point of reference. Our approach emphasizes inter-sectoral linkages and institutional pre-conditions for local content promotion....

This paper documents the protracted process of shaping the rules governing oil operations in São Tomé and Príncipe. It analyzes the institutional framework for oil sector development, which applies Milton Friedman's permanent income hypothesis to the management of oil resources. São Tomé...

The paper reviews the background and the existing institutional framework for oil sector development in São Tomé and Príncipe and the challenges faced in implementing transparency rules in all oil-related transactions. It provides a quantitative analysis of the impact of oil sector...

A novel method of colour texture analysis based on anisotropic diffusion for industrial applications is proposed and the performance analysis of colour texture descriptors is examined. The objective of the study is to explore different colour spaces for their suitability in automatic...

This article describes how a baseline shift is a slow change in the orientation of the baseline over time. It often exists in the process of signals sampling, e g. ECG, TLC and so on. In order to filter the baseline shift, a combination method of wavelet transform and an adaptive filter is...

Our study deals with interest rate pass-through for household and corporate deposits in the Central and Eastern European (CEE) region, focusing on the tightening cycle starting in the middle of 2021. This period is of particular interest for interest rate pass-through, as the sharp hikes by...

The aim of this article is the prediction of GDP Polish and other selected European countries. For this purpose integrated into one algorithm econometric methods and wavelet analysis. Econometric methods and wavelet transform are combined goal of constructing a copyright model for predicting...

In economics it is common to distinguish between different time horizons (i.e. short run, medium run, and long run). Engle (1974) proposed combining the discrete Fourier transform with a band spectrum regression to estimate models that separates between different time horizons. In this paper we...