DocumentCode
2157323
Title
Wavelet-Based Synthesis of a Multifractional Process
Author
Wang, Zhao-rui ; Lü, Shan-wei ; Nakamura, Taketsune
Volume
4
fYear
2008
fDate
27-30 May 2008
Firstpage
331
Lastpage
334
Abstract
The multifractional process is introduced as a natural extension of traditional monofractional process. The selling point of multifractional process is that its Hölder regularity is allowed to vary from point to point, such that makes it a promising model for those stochastic processes whose regularity evolves in time. A new wavelet-based algorithm to synthesize a realization of multifractional process is proposed, and the validity is verified by numerical experiments and real-world data.
Keywords
1f noise; Fractals; Frequency measurement; Noise measurement; Signal analysis; Signal processing; Signal processing algorithms; Signal synthesis; Stochastic processes; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location
Sanya, China
Print_ISBN
978-0-7695-3119-9
Type
conf
DOI
10.1109/CISP.2008.709
Filename
4566671
Link To Document