20-29009S

angličtina

Rajmic Pavel, prof. Mgr., Ph.D. - hlavní řešitel
Mokrý Ondřej, Ing., Ph.D. - spoluřešitel
Záviška Pavel, Ing., Ph.D. - spoluřešitel

Ústav telekomunikací
- odpovědné pracoviště (4.4.2019 - nezadáno)
Ústav telekomunikací
- příjemce (4.4.2019 - nezadáno)

ZÁVIŠKA, P.: Large Audio Declipping Toolbox. URL: https://github.com/rajmic/declipping2020_codes. (Software)
Detail

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.
Detail

RAJMIC, P.; BERTIN, N.; EMIYA, V.; HOLIGHAUS, N.; OZEROV, A. Editorial: Reconstruction of Audio From Incomplete or Highly Degraded Observations. IEEE Journal of Selected Topics in Signal Processing, 2021, vol. 15, no. 1, p. 2-4. ISSN: 1941-0484.
Detail

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

MOKRÝ, O.; MAGRON, P.; OBERLIN, T.; FÉVOTTE, C. Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization. Signal processing, 2022, no. 206, p. 1-10. ISSN: 1872-7557.
Detail

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.
Detail

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. no. 23, p. 117-124. ISSN: 2413-6689.
Detail

MOKRÝ, O.; RAJMIC, P. Approximal operator with application to audio inpainting. Signal processing, 2020, vol. 179, no. 1, p. 1-8. ISSN: 0165-1684.
Detail

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). Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. Toronto, Canada: IEEE, 2021. no. 1, p. 701-705. ISBN: 978-1-7281-7605-5. ISSN: 1520-6149.
Detail

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.
Detail

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.
Detail

MOKRÝ, O.; RAJMIC, P. Audio Inpainting: Revisited and Reweighted. IEEE-ACM Transactions on Audio Speech and Language Processing, 2020, no. 28, p. 2906-2918. ISSN: 2329-9290.
Detail

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.
Detail

Odpovědnost: Rajmic Pavel, prof. Mgr., Ph.D.