Publications

• 2024

  DEJDAR, P.; ZÁVIŠKA, P.; TOMAŠOV, A.; HORVÁTH, T.; MÜNSTER, P. Standard single-mode fiber and hollow-core fiber sensitivity to acoustic vibrations in audible spectrum. In Optical Sensing and Detection VIII. Proceedings of SPIE. 2024. ISSN: 0277-786X.
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  TOMAŠOV, A.; BUKOVSKÝ, J.; ZÁVIŠKA, P.; HORVÁTH, T.; LÁTAL, M.; MÜNSTER, P. Acoustic insights: advancing object classification in urban landscapes using distributed acoustic sensing and convolutional neural networks. In Machine Learning in Photonics. Proceedings of SPIE. 2024. ISSN: 0277-786X.
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  TOMAŠOV, A.; ZÁVIŠKA, P.; SPURNÝ, V.; DEJDAR, P.; MÜNSTER, P.; HORVÁTH, T.; KLÍČNÍK, O. Enhancing Perimeter Protection using Φ-OTDR and CNN for Event Classification. In In Prociideings of 28th International Conference on Optical Fiber Sensors. Hamamatsu, Japan: 2024. ISBN: 978-1-957171-30-2.
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• 2023

  SPURNÝ, V.; TOMAŠOV, A.; ZÁVIŠKA, P.; DEJDAR, P.; MÜNSTER, P.; HORVÁTH, T. Effect of Macrobends on the Transmission Parameters of a High-Speed Coherent System. In 2023 International Workshop on Fiber Optics on Access Networks (FOAN). Gent, Belgium: IEEE, 2023. p. 57-60. ISBN: 979-8-3503-1936-1.
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  HORVÁTH, T.; MÜNSTER, P.; SPURNÝ, V.; TOMAŠOV, A.; ZÁVIŠKA, P.; DEJDAR, P. Transmission parameters evaluation of high-speed coherent system in critical infrastructure. 2023. p. 1-18.
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  ZÁVIŠKA, P.; RAJMIC, P.; MOKRÝ, O. Multiple Hankel matrix rank minimization for audio inpainting. In Proceedings of the 2023 46th International Conference on Telecommunications and Signal Processing (TSP). Prague, Czech republic: IEEE, 2023. p. 47-51. ISBN: 979-8-3503-0396-4.
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• 2022

  ZÁVIŠKA, P.; RAJMIC, P. Audio Declipping with (Weighted) Analysis Social Sparsity. In Proceedings of the 2022 45th International Conference on Telecommunications and Signal Processing (TSP). Prague, Czech republic: IEEE, 2022. p. 407-412. ISBN: 978-1-6654-6948-7.
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  DEJDAR, P.; ZÁVIŠKA, P.; VALACH, S.; MÜNSTER, P.; HORVÁTH, T. Image Edge Detection Methods in Perimeter Security Systems Using Distributed Fiber Optical Sensing. SENSORS, 2022, vol. 22, no. 12, p. 1-13. ISSN: 1424-8220.
  Detail | WWW | Full text in the Digital Library

  ZÁVIŠKA, P.; DEJDAR, P.; MÜNSTER, P.; HORVÁTH, T. Dvourozměrná detekce hran pro distribuovaný optovláknový detekční systém. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2022, vol. 24, no. 2, p. 43-48. ISSN: 1213-1539.
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• 2021

  MOKRÝ, O.; ZÁVIŠKA, P. Inconsistent Audio Declipping Performance Enhancement Based on Audio Inpainting. Proceedings of the 27th Conference STUDENT EEICT 2021. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2021. p. 596-600. ISBN: 978-80-214-5942.
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  ZÁVIŠKA, P.; RAJMIC, P.; MOKRÝ, O. Audio declipping performance enhancement via crossfading. SIGNAL PROCESSING, 2021, vol. 192, no. 1, p. 1-5. ISSN: 0165-1684.
  Detail | WWW | Full text in the Digital Library

  ZÁVIŠKA, P.; DEJDAR, P.; MÜNSTER, P. Comparison of image edge detection methods for intruder detection in a phase-sensitive OTDR system. In 2021 13th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE, 2021. p. 267-270. ISBN: 978-1-6654-0219-4.
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  ZÁVIŠKA, P.; RAJMIC, P.; MOKRÝ, O. Audio Dequantization Using (Co)Sparse (Non)Convex Methods. In 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Proc. International Conference on Acoustics, Speech, and Signal Processing. Toronto, Canada: IEEE, 2021. p. 701-705. ISBN: 978-1-7281-7605-5. ISSN: 1520-6149.
  Detail | WWW | Full text in the Digital Library

• 2020

  ZÁVIŠKA, P.; RAJMIC, P.; OZEROV, A.; RENCKER, L. A Survey and an Extensive Evaluation of Popular Audio Declipping Methods. IEEE Journal of Selected Topics in Signal Processing, 2020, vol. 15, no. 1, p. 5-24. ISSN: 1941-0484.
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  MOKRÝ, O.; RAJMIC, P.; ZÁVIŠKA, P. Flexible framework for audio reconstruction. In Proceedings of the International Conference on Digital Audio Effects (DAFx). Proceedings of the International Conference on Digital Audio Effects (DAFx). Vídeň: DAFx, 2020. p. 117-124. ISSN: 2413-6689.
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  ZÁVIŠKA, P.; RAJMIC, P. Sparse and Cosparse Audio Dequantization Using Convex Optimization. In Proceedings of the 2020 43rd International Conference on Telecommunications and Signal Processing (TSP). Milan, Italy: IEEE, 2020. p. 216-220. ISBN: 978-1-7281-6376-5.
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• 2019

  ZÁVIŠKA, P.; RAJMIC, P.; SCHIMMEL, J. Psychoacoustically motivated audio declipping based on weighted l1 minimization. In Proceedings of the 2019 42nd International Conference on Telecommunications and Signal Processing (TSP). Budapest, Hungary: IEEE, 2019. p. 338-342. ISBN: 978-1-7281-1864-2.
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  RAJMIC, P.; ZÁVIŠKA, P.; VESELÝ, V.; MOKRÝ, O. A new generalized projection and its application to acceleration of audio declipping. Axioms, 2019, vol. 8, no. 3, p. 1-20. ISSN: 2075-1680.
  Detail | WWW | Full text in the Digital Library

  ZÁVIŠKA, P.; RAJMIC, P.; MOKRÝ, O.; PRŮŠA, Z. A Proper version of Synthesis-based Sparse Audio Declipper. In 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Proc. International Conference on Acoustics, Speech, and Signal Processing. Brighton, United Kingdom: IEEE, 2019. p. 591-595. ISBN: 978-1-4799-8131-1. ISSN: 1520-6149.
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  MOKRÝ, O.; ZÁVIŠKA, P.; RAJMIC, P.; VESELÝ, V. Introducing SPAIN (SParse Audio INpainter). In 2019 27th European Signal Processing Conference (EUSIPCO). European Signal Processing Conference, 2019. p. 666-670. ISBN: 978-9-0827-9702-2.
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• 2018

  ZÁVIŠKA, P.; MOKRÝ, O.; RAJMIC, P. S-SPADE Done Right: Detailed Study of the Sparse Audio Declipper Algorithms. 2018. p. 1-8.
  Detail | WWW | Full text in the Digital Library

  ZÁVIŠKA, P.; RAJMIC, P.; PRŮŠA, Z.; VESELÝ, V. Revisiting synthesis model in Sparse Audio Declipper. In Latent Variable Analysis and Signal Separation, 14th International Conference, LVA/ICA 2018 Proceedings. Lecture Notes in Computer Science. Cham: Springer, 2018. p. 429-445. ISBN: 978-3-319-93764-9.
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  ZÁVIŠKA, P. Image Bit-Depth Expansion Method Based on Sparse Representations. In Proceedings of the 24th Conference STUDENT EEICT 2018. Brno: VUT v Brně, 2018. p. 393-397. ISBN: 978-80-214-5614-3.
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