Spectral analysis is one of the most important tools of atmospheric physics. Patterns can be extracted from measurement series with the help of spectral analysis and used as a complement to their ...

Fractal geometry investigates complex shapes that exhibit self-similarity across multiple scales, while spectral analysis focuses on the study of the eigenvalues and eigenfunctions of operators, most ...

A milestone in the description of complex processes -- for example the ups and downs of share prices -- has been reached by mathematicians. Researchers have developed a new method in spectral analysis ...

Random fields and Gaussian processes constitute fundamental frameworks in modern probability theory and spatial statistics, providing robust tools for modelling complex dependencies over space and ...

Journal of Applied Probability and Advances in Applied Probability have for four decades provided a forum for original research and reviews in applied probability, mapping the development of ...

CATALOG DESCRIPTION: Advanced topics in random processes: point processes, Wiener processes; Markov processes, spectral representation, series expansion of random processes, linear filtering, Wiener ...

Researchers at the University of California, Los Angeles (UCLA), in collaboration with UC Berkeley, have developed a new type ...

This is a preview. Log in through your library . Abstract A statistical method for estimating the factorisation of the spectral density of a stationary point process is presented and asymptotic ...

Investigation of peak purity failure during HPLC method validation led to discovery of a co-eluting impurity under the main peak. Spectral analysis, including three-dimensional modelling, was used to ...