<p>Analysis of cases (a), rainfall (b), and cross-wavelet (c) between cases and rainfall are presented. The Y-axes represent length of the wavelet analysis window (from 3 to 26 days) and the color scales represent the spectral values for each length of the analysis window.</p
Wavelets are relatively new mathematical tools that have proven to be quite useful for analyzing tim...
Lack of hydrological data in arid regions is often a huge hurdle water resources investigation. This...
This paper is a sequel to a recent study of the authors' that uses a combination of multiresolution ...
The existing methods based on statistical techniques for long range forecasts of Indian summer monso...
My thesis investigates wavelet theory and methods underlying recent applications to time series anal...
Not AvailableThe powerful methodology of “Wavelet analysts in frequency domain” for analyzing time-s...
Introduction The investigation of the properties of meteorological data is important for the analys...
The principle of stationarity plays an important role in time series analysis. A key assumption in c...
In this chapter we will consider some common aspects of time series analysis including autocorrelati...
This chapter presents a set of tools, which allow gathering information about the frequency componen...
Wavelet analysis is a powerful tool that is already in use throughout science and engineering. The v...
The first paper describes an alternative approach for testing the existence of trend among time seri...
The water erosion in semiarid region of northeastern Brazil is mainly influenced by the intense rain...
This paper presents a set of tools, which allow gathering information about the frequency components...
A wavelet is a window function in both the time and the frequency domains; accordingly, the wavelet ...
Wavelets are relatively new mathematical tools that have proven to be quite useful for analyzing tim...
Lack of hydrological data in arid regions is often a huge hurdle water resources investigation. This...
This paper is a sequel to a recent study of the authors' that uses a combination of multiresolution ...
The existing methods based on statistical techniques for long range forecasts of Indian summer monso...
My thesis investigates wavelet theory and methods underlying recent applications to time series anal...
Not AvailableThe powerful methodology of “Wavelet analysts in frequency domain” for analyzing time-s...
Introduction The investigation of the properties of meteorological data is important for the analys...
The principle of stationarity plays an important role in time series analysis. A key assumption in c...
In this chapter we will consider some common aspects of time series analysis including autocorrelati...
This chapter presents a set of tools, which allow gathering information about the frequency componen...
Wavelet analysis is a powerful tool that is already in use throughout science and engineering. The v...
The first paper describes an alternative approach for testing the existence of trend among time seri...
The water erosion in semiarid region of northeastern Brazil is mainly influenced by the intense rain...
This paper presents a set of tools, which allow gathering information about the frequency components...
A wavelet is a window function in both the time and the frequency domains; accordingly, the wavelet ...
Wavelets are relatively new mathematical tools that have proven to be quite useful for analyzing tim...
Lack of hydrological data in arid regions is often a huge hurdle water resources investigation. This...
This paper is a sequel to a recent study of the authors' that uses a combination of multiresolution ...