Details
| Original language | English |
|---|---|
| Article number | 100275 |
| Journal | SoftwareX |
| Volume | 10 |
| Early online date | 9 Jul 2019 |
| Publication status | Published - Jul 2019 |
Abstract
A Python package for the calculation of spectrograms with optimized time and frequency resolution for application in the analysis of numerical simulations on ultrashort pulse propagation is presented. Gabor's uncertainty principle prevents both resolutions from being optimal simultaneously for a given window function employed in the underlying short-time Fourier analysis. Our aim is to yield a time–frequency representation of the input signal with marginals that represent the original intensities per unit time and frequency similarly well. As a use-case, we demonstrate the implemented functionality for the analysis of simulations on ultrashort pulse propagation in a nonlinear waveguide.
Keywords
- Analytic signal, Optics, Short-time Fourier analysis, Spectrogram, Ultrashort pulse propagation
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Computer Science Applications
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In: SoftwareX, Vol. 10, 100275, 07.2019.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - OptFROG - Analytic signal spectrograms with optimized time–frequency resolution
AU - Melchert, Oliver
AU - Roth, Bernhard Wilhelm
AU - Morgner, Uwe
AU - Demircan, Ayhan
N1 - Funding information: We acknowledge support from the Deutsche Forschungsgemeinschaft (DFG), Germany under Germany’s Excellence Strategy within the Cluster of Excellence PhoenixD (Photonics, Optics, and Engineering — Innovation Across Disciplines) (EXC 2122, projectID 390833453 ). The publication of this article was funded by the Open Access Fund of the Leibniz Universität Hannover.
PY - 2019/7
Y1 - 2019/7
N2 - A Python package for the calculation of spectrograms with optimized time and frequency resolution for application in the analysis of numerical simulations on ultrashort pulse propagation is presented. Gabor's uncertainty principle prevents both resolutions from being optimal simultaneously for a given window function employed in the underlying short-time Fourier analysis. Our aim is to yield a time–frequency representation of the input signal with marginals that represent the original intensities per unit time and frequency similarly well. As a use-case, we demonstrate the implemented functionality for the analysis of simulations on ultrashort pulse propagation in a nonlinear waveguide.
AB - A Python package for the calculation of spectrograms with optimized time and frequency resolution for application in the analysis of numerical simulations on ultrashort pulse propagation is presented. Gabor's uncertainty principle prevents both resolutions from being optimal simultaneously for a given window function employed in the underlying short-time Fourier analysis. Our aim is to yield a time–frequency representation of the input signal with marginals that represent the original intensities per unit time and frequency similarly well. As a use-case, we demonstrate the implemented functionality for the analysis of simulations on ultrashort pulse propagation in a nonlinear waveguide.
KW - Analytic signal
KW - Optics
KW - Short-time Fourier analysis
KW - Spectrogram
KW - Ultrashort pulse propagation
UR - http://www.scopus.com/inward/record.url?scp=85068455793&partnerID=8YFLogxK
U2 - 10.1016/j.softx.2019.100275
DO - 10.1016/j.softx.2019.100275
M3 - Article
AN - SCOPUS:85068455793
VL - 10
JO - SoftwareX
JF - SoftwareX
M1 - 100275
ER -