2014
DOI: 10.2478/s11600-013-0184-3
|View full text |Cite
|
Sign up to set email alerts
|

Wavelet-based multifractal analysis of earthquakes temporal distribution in Mammoth Mountain volcano, Mono County, Eastern California

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 54 publications
0
3
0
Order By: Relevance
“…The high ability of the wavelet transform, to focus simultaneously in two domains of time (or space) and frequency has prompted many researchers to use it in investigation of complex natural processes (Toledo et al 2013;Zamani et al 2013Zamani et al , 2014. Muzy et al (1991) presented a method for the multifractal analysis of phenomena based on the wavelet transform.…”
Section: -Investigation Of Seismicity Parametersmentioning
confidence: 99%
See 1 more Smart Citation
“…The high ability of the wavelet transform, to focus simultaneously in two domains of time (or space) and frequency has prompted many researchers to use it in investigation of complex natural processes (Toledo et al 2013;Zamani et al 2013Zamani et al , 2014. Muzy et al (1991) presented a method for the multifractal analysis of phenomena based on the wavelet transform.…”
Section: -Investigation Of Seismicity Parametersmentioning
confidence: 99%
“…Muzy et al (1991) presented a method for the multifractal analysis of phenomena based on the wavelet transform. This method has been used by some researchers for the fractal study of various phenomena due to its ease of operation and having many advantages among other methods (Enescu et al 2006;Zamani et al 2014).…”
Section: -Investigation Of Seismicity Parametersmentioning
confidence: 99%
“…Wavelet analysis has found numerous applications in science and engineering. For example, plenty of studies have been investigating the potential of using wavelet transform in the processing of seismic data (Chakraborty and Okaya 1995, Cheng et al 2015, Zamani et al 2014 and time series analysis of streamflow and precipitations (Carey et al 2013, Coulibaly and Burn 2004, Kang and Lin 2007, Labat 2008, Lafrenière and Sharp 2003, Saco and Kumar 2000, Smith et al 1998, Szolgayová et al 2014, Venugopal et al 2006, Zolezzi et al 2009). Scanlon and Albertson (2001) applied wavelet transform to describe turbulent transport of carbon dioxide and water vapour within vegetation canopies.…”
Section: Introductionmentioning
confidence: 99%