English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The paper investigates uniform convergence of wavelet expansions of Gaussianrandom processes. The convergence is obtained under simple general conditionson processes and wavelets which can be easily verified. Applications of thedeveloped technique are shown for several classes of stochastic processes. Inparticular, the main theorem is adjusted to the fractional Brownian motioncase. New results on the rate of convergence of the wavelet expansions in thespace $C([0,T])$ are also presented.

On convergence of general wavelet decompositions of nonstationary stochastic processes