Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
DIGITAL.CSIC
Software . 2017
Data sources: Datacite
versions View all 2 versions
addClaim

ts-PWS (v1.0.2): software to compute time-scale phase-weighted stack

Authors: Ventosa, Sergio; Schimmel, Martin;

ts-PWS (v1.0.2): software to compute time-scale phase-weighted stack

Abstract

Software to compute the time-scale phase-weighted stack (ts-PWS), including the two-stage stack and the unbiased phase coherence strategies (Ventosa et al., GJI 2017). The software packages of fast phase cross-correlation and ts-PWS stacking are basic building blocks in the design of efficient signal extraction methods from interstation correlations. Main features Fast: The time-frequency expansion used in the ts-PWS is implemented using frames of wavelets (Morlet and Mexican hat wavelets are available). The most demanding operation is conventionally reading the data. Better filtering: The two-stage stacking and the unbiased phase coherence help to reduce signal attenuation and to increase noise attenation. Simple setup: All parameters are automatically set, e.g., when w0, Q or number of cycles is changed the parameters describing the frame are adapted accordingly. Resampling techniques: The bootstrap and jackknife techniques can be applied to build a pull of stacked sequences for a subsequent error analysis. The ts-PWS version 1.0 is available in Ventosa (2018), DOI:10.5281/zenodo.1154588.

Secretaria d’Universitats i Recerca del Departament d’Economia i Coneixement de la General- itat de Catalunya; 7th European Framework Program Marie Curie COFUND contract 600385 Beatriu de Pinos Fellowship; EU Framework Programme Horizon 2020 ES1401 TIDES COST Actions; Ministerio de Economía, industria y competitividad CGL2013-48601-C2-1-R MISTERIOS; Agence Nationale de la Recherche ANR-16-C33-0005 ANR MIMOSA

Contacto: Sergi Ventosa, sventosa@geo3bcn.csic.es Contacto: Martin Schimmel, mschimmel@geo3bcn.csic.es

Más información: The ts-PWS version 1.0 is available in Ventosa (2018), DOI:10.5281/zenodo.1154588.

Más información: https://github.com/sergiventosa/ts-PWS

Peer reviewed

Country
Spain
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 149
    download downloads 33
  • 149
    views
    33
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
3
Top 10%
Top 10%
Average
149
33
Funded by