@inproceedings{HainzlScherbaumZoeller2006,
  author    = {Hainzl, Sebastian and Scherbaum, Frank and Z{\"o}ller, Gert},
  title     = {Spatiotemporal earthquake patterns},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-7267},
  year      = {2006},
  abstract  = {Interdisziplin{\"a}res Zentrum f{\"u}r Musterdynamik und Angewandte Fernerkundung Workshop vom 9. - 10. Februar 2006},
  language  = {en}
}
@misc{HiemerRoesslerScherbaum2010,
  author    = {Hiemer, Stefan and R{\"o}ßler, Dirk and Scherbaum, Frank},
  title     = {Catalog of Swarm Earthquakes in Vogtland /West Bohemia in 2008/09},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-51710},
  year      = {2010},
  abstract  = {The document contains the catalog of earthquakes in Vogtland /West Bohemia within the period of 2008/10/19 -to- 2009/03/16. The events were recorded by a seismic mini-array operated by the Institute of Earthsciences, University of Postdam.},
  language  = {en}
}
@misc{HiemerRoesslerScherbaum2010,
  author    = {Hiemer, Stefan and R{\"o}ßler, Dirk and Scherbaum, Frank},
  title     = {Catalog of Swarm Earthquakes in Vogtland /West Bohemia in 2008/09},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-53837},
  year      = {2010},
  abstract  = {The document contains the catalog of earthquakes in Vogtland /West Bohemia within the period of 2008/10/19 -to- 2009/03/16. The events were recorded by a seismic mini-array operated by the Institute of Earthsciences, University of Postdam.},
  language  = {en}
}
@book{ScherbaumMzhavanadzeArometal.2020,
  author    = {Scherbaum, Frank and Mzhavanadze, Nana and Arom, Simha and Rosenzweig, Sebastian and M{\"u}ller, Meinard},
  title     = {Tonal Organization of the Erkomaishvili Dataset: Pitches, Scales, Melodies and Harmonies},
  series = {Computational Analysis Of Traditional Georgian Vocal Music},
  journal   = {Computational Analysis Of Traditional Georgian Vocal Music},
  number    = {1},
  editor    = {Scherbaum, Frank},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  issn      = {2702-2641},
  doi       = {10.25932/publishup-47614},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-476141},
  publisher      = {Universit{\"a}t Potsdam},
  pages     = {64},
  year      = {2020},
  abstract  = {In this study we examine the tonal organization of a series of recordings of liturgical chants, sung in 1966 by the Georgian master singer Artem Erkomaishvili. This dataset is the oldest corpus of Georgian chants from which the time synchronous F0-trajectories for all three voices have been reliably determined (M{\"u}ller et al. 2017). It is therefore of outstanding importance for the understanding of the tuning principles of traditional Georgian vocal music. The aim of the present study is to use various computational methods to analyze what these recordings can contribute to the ongoing scientific dispute about traditional Georgian tuning systems. Starting point for the present analysis is the re-release of the original audio data together with estimated fundamental frequency (F0) trajectories for each of the three voices, beat annotations, and digital scores (Rosenzweig et al. 2020). We present synoptic models for the pitch and the harmonic interval distributions, which are the first of such models for which the complete Erkomaishvili dataset was used. We show that these distributions can be very compactly be expressed as Gaussian mixture models, anchored on discrete sets of pitch or interval values for the pitch and interval distributions, respectively. As part of our study we demonstrate that these pitch values, which we refer to as scale pitches, and which are determined as the mean values of the Gaussian mixture elements, define the scale degrees of the melodic sound scales which build the skeleton of Artem Erkomaishvili's intonation. The observation of consistent pitch bending of notes in melodic phrases, which appear in identical form in a group of chants, as well as the observation of harmonically driven intonation adjustments, which are clearly documented for all pure harmonic intervals, demonstrate that Artem Erkomaishvili intentionally deviates from the scale pitch skeleton quite freely. As a central result of our study, we proof that this melodic freedom is always constrained by the attracting influence of the scale pitches. Deviations of the F0-values of individual note events from the scale pitches at one instance of time are compensated for in the subsequent melodic steps. This suggests a deviation-compensation mechanism at the core of Artem Erkomaishvili's melody generation, which clearly honors the scales but still allows for a large degree of melodic flexibility. This model, which summarizes all partial aspects of our analysis, is consistent with the melodic scale models derived from the observed pitch distributions, as well as with the melodic and harmonic interval distributions. In addition to the tangible results of our work, we believe that our work has general implications for the determination of tuning models from audio data, in particular for non-tempered music.},
  language  = {en}
}
@misc{ZaliReinKruegeretal.2023,
  author    = {Zali, Zahra and Rein, Teresa and Kr{\"u}ger, Frank and Ohrnberger, Matthias and Scherbaum, Frank},
  title     = {Ocean bottom seismometer (OBS) noise reduction from horizontal and vertical components using harmonic-percussive separation algorithms},
  series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  number    = {1320},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-58882},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-588828},
  pages     = {15},
  year      = {2023},
  abstract  = {Records from ocean bottom seismometers (OBSs) are highly contaminated by noise, which is much stronger compared to data from most land stations, especially on the horizontal components. As a consequence, the high energy of the oceanic noise at frequencies below 1 Hz considerably complicates the analysis of the teleseismic earthquake signals recorded by OBSs. Previous studies suggested different approaches to remove low-frequency noises from OBS recordings but mainly focused on the vertical component. The records of horizontal components, which are crucial for the application of many methods in passive seismological analysis of body and surface waves, could not be much improved in the teleseismic frequency band. Here we introduce a noise reduction method, which is derived from the harmonic-percussive separation algorithms used in Zali et al. (2021), in order to separate long-lasting narrowband signals from broadband transients in the OBS signal. This leads to significant noise reduction of OBS records on both the vertical and horizontal components and increases the earthquake signal-to-noise ratio (SNR) without distortion of the broadband earthquake waveforms. This is demonstrated through tests with synthetic data. Both SNR and cross-correlation coefficients showed significant improvements for different realistic noise realizations. The application of denoised signals in surface wave analysis and receiver functions is discussed through tests with synthetic and real data.},
  language  = {en}
}
@misc{RoesslerHiemerBachetal.2009,
  author    = {R{\"o}ßler, Dirk and Hiemer, Stephan and Bach, Christoph and Delavaud, Elise and Kr{\"u}ger, Frank and Ohrnberger, Matthias and Sauer, David and Scherbaum, Frank and Vollmer, Daniel},
  title     = {Small-aperture seismic array monitors Vogtland earthquake swarm in 2008/09},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-29185},
  year      = {2009},
  abstract  = {The most recent intense earthquake swarm in the Vogtland lasted from 6 October 2008 until January 2009. Greatest magnitudes exceeded M3.5 several times in October making it the greatest swarm since 1985/86. In contrast to the swarms in 1985 and 2000, seismic moment release was concentrated near swarm onset. Focal area and temporal evolution are similar to the swarm in 2000. Work hypothysis: uprising upper-mantle fluids trigger swarm earthquakes at low stress level. To monitor the seismicity, the University of Potsdam operated a small aperture seismic array at 10 km epicentral distance between 18 October 2008 and 18 March 2009. Consisting of 12 seismic stations and 3 additional microphones, the array is capable of detecting earthquakes from larger to very low magnitudes (M<-1) as well as associated air waves. We use array techniques to determine properties of the incoming wavefield: noise, direct P and S waves, and converted phases.},
  language  = {en}
}