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Pavel Rajmic
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2020 – today
- 2024
- [j16]Erik Sausa, Pavel Rajmic
, Franz Hlawatsch
Distributed Bayesian target tracking with reduced communication: Likelihood consensus 2.0. Signal Process. 215: 109259 (2024) - [c28]Erik Sausa, Pavel Rajmic, Franz Hlawatsch:
Likelihood Consensus 2.0: Reducing Interagent Communication in Distributed Bayesian Target Tracking. ICASSP 2024: 13006-13010 - [c27]Marie Mangová, Pavel Rajmic, Ondrej Macícek, Denisa Hývlová, Radovan Jirík:
Simultaneous DCE-DSC-MRI Using Low-Rank-Regularized Model-Based Reconstruction of DCE and DSC Components. ISBI 2024: 1-5 - [c26]Ondrej Mokrý, Jirí Vitous, Pavel Rajmic, Radovan Jirík:
Improving DCE-MRI through Unfolded Low-Rank + Sparse Optimisation. ISBI 2024: 1-5 - [c25]Michal Svento, Pavel Rajmic, Ondrej Mokrý:
Plug-and-Play Audio Restoration with Diffusion Denoiser. IWAENC 2024: 115-119 - [i14]Ondrej Mokrý, Pavel Rajmic:
On the Use of Autoregressive Methods for Audio Inpainting. CoRR abs/2403.04433 (2024) - [i13]Ondrej Mokrý, Peter Balusík, Pavel Rajmic:
Janssen 2.0: Audio Inpainting in the Time-frequency Domain. CoRR abs/2409.06392 (2024) - [i12]Ondrej Mokrý, Pavel Rajmic:
Regularized autoregressive modeling and its application to audio signal declipping. CoRR abs/2410.17790 (2024) - 2023
- [c24]Pavel Záviska, Pavel Rajmic, Ondrej Mokrý:
Multiple Hankel matrix rank minimization for audio inpainting. TSP 2023: 47-51 - 2022
- [j15]Pavel Záviska
Audio declipping performance enhancement via crossfading. Signal Process. 192: 108365 (2022) - [c23]Pavel Záviska
Audio Declipping with (Weighted) Analysis Social Sparsity. TSP 2022: 407-412 - [i11]Pavel Záviska, Pavel Rajmic:
Analysis Social Sparsity Audio Declipper. CoRR abs/2205.10215 (2022) - 2021
- [j14]Pavel Rajmic
Editorial: Reconstruction of Audio From Incomplete or Highly Degraded Observations. IEEE J. Sel. Top. Signal Process. 15(1): 2-4 (2021) - [j13]Pavel Záviska
A Survey and an Extensive Evaluation of Popular Audio Declipping Methods. IEEE J. Sel. Top. Signal Process. 15(1): 5-24 (2021) - [j12]Ondrej Mokrý
Approximal operator with application to audio inpainting. Signal Process. 179: 107807 (2021) - [c22]Pavel Záviska
Audio Dequantization Using (Co)Sparse (Non)Convex Methods. ICASSP 2021: 701-705 - [i10]Pavel Záviska, Pavel Rajmic, Ondrej Mokrý:
Audio declipping performance enhancement via crossfading. CoRR abs/2104.03074 (2021) - 2020
- [j11]Ondrej Mokrý
Audio Inpainting: Revisited and Reweighted. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2906-2918 (2020) - [c21]Pavel Záviska
Sparse and Cosparse Audio Dequantization Using Convex Optimization. TSP 2020: 216-220 - [i9]Ondrej Mokrý, Pavel Rajmic:
Audio Inpainting: Revisited and Reweighted. CoRR abs/2001.02480 (2020) - [i8]Pavel Záviska, Pavel Rajmic:
Sparse and Cosparse Audio Dequantization Using Convex Optimization. CoRR abs/2003.04222 (2020) - [i7]Ondrej Mokrý, Pavel Rajmic, Pavel Záviska:
Flexible framework for audio restoration. CoRR abs/2004.11162 (2020) - [i6]Pavel Záviska, Pavel Rajmic, Alexey Ozerov, Lucas Rencker:
A survey and an extensive evaluation of popular audio declipping methods. CoRR abs/2007.07663 (2020) - [i5]Pavel Záviska, Pavel Rajmic, Ondrej Mokrý:
Audio Dequantization Using (Co)Sparse (Non)Convex Methods. CoRR abs/2010.16386 (2020)
2010 – 2019
- 2019
- [j10]Pavel Rajmic
A New Generalized Projection and Its Application to Acceleration of Audio Declipping. Axioms 8(3): 105 (2019) - [j9]Michaela Novosadová, Pavel Rajmic
Orthogonality is superiority in piecewise-polynomial signal segmentation and denoising. EURASIP J. Adv. Signal Process. 2019: 6 (2019) - [c20]Ondrej Mokrý
Introducing SPAIN (SParse Audio INpainter). EUSIPCO 2019: 1-5 - [c19]Pavel Záviska
A Proper Version of Synthesis-based Sparse Audio Declipper. ICASSP 2019: 591-595 - [c18]Pavel Záviska
Psychoacoustically Motivated Audio Declipping Based on Weighted l1 Minimization. TSP 2019: 338-342 - [i4]Pavel Záviska, Pavel Rajmic, Jiri Schimmel:
Psychoacoustically Motivated Declipping Based on Weighted l1 Minimization. CoRR abs/1905.00628 (2019) - 2018
- [c17]Pavel Záviska
Revisiting Synthesis Model in Sparse Audio Declipper. LVA/ICA 2018: 429-445 - [c16]Michaela Novosadová, Pavel Rajmic
Image Edges Resolved Well When Using an Overcomplete Piecewise-Polynomial Model. ICSPCS 2018: 1-10 - [c15]Rene Repp, Pavel Rajmic
Target Tracking Using a Distributed Particle-Pda Filter With Sparsity-Promoting Likelihood Consensus. SSP 2018: 653-657 - [i3]Ondrej Mokrý, Pavel Záviska, Pavel Rajmic, Vítezslav Veselý:
Introducing SPAIN (SParse Audion INpainter). CoRR abs/1810.13137 (2018) - 2017
- [j8]Pavel Rajmic
Piecewise-polynomial signal segmentation using convex optimization. Kybernetika 53(6): 1131-1149 (2017) - [j7]Zdenek Prusa
Toward High-Quality Real-Time Signal Reconstruction From STFT Magnitude. IEEE Signal Process. Lett. 24(6): 892-896 (2017) - [c14]Michaela Novosadová, Pavel Rajmic
Piecewise-Polynomial signal segmentation using reweighted convex optimization. TSP 2017: 769-774 - [c13]Marie Mangová, Pavel Rajmic
Dynamic magnetic resonance imaging using compressed sensing with multi-scale low rank penalty. TSP 2017: 780-783 - [c12]Pavel Rajmic
Fast reconstruction of sparse relative impulse responses via second-order cone programming. WASPAA 2017: 364-368 - 2016
- [j6]Zdenek Prusa
Discrete Wavelet Transforms in the Large Time-Frequency Analysis Toolbox for MATLAB/GNU Octave. ACM Trans. Math. Softw. 42(4): 32:1-32:23 (2016) - [c11]Michaela Novosadová, Pavel Rajmic
Piecewise-polynomial curve fitting using group sparsity. ICUMT 2016: 320-325 - [c10]Pavel Rajmic
On the limitation of convex optimization for sparse signal segmentation. TSP 2016: 550-554 - [i2]Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang:
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR abs/1609.04167 (2016) - 2015
- [j5]Pavel Rajmic
Simplified Probabilistic Modelling and Analysis of Enhanced Distributed Coordination Access in IEEE 802.11. Comput. J. 58(6): 1456-1468 (2015) - [c9]Marie Danková, Pavel Rajmic
Acceleration of Perfusion MRI Using Locally Low-Rank Plus Sparse Model. LVA/ICA 2015: 514-521 - [c8]Pavel Rajmic
Acceleration of audio inpainting by support restriction. ICUMT 2015: 325-329 - 2014
- [j4]Pavel Rajmic
Discrete Wavelet Transform of Finite signals: detailed Study of the Algorithm. Int. J. Wavelets Multiresolution Inf. Process. 12(1) (2014) - [j3]Darian M. Onchis
Generalized Goertzel algorithm for computing the natural frequencies of cantilever beams. Signal Process. 96: 45-50 (2014) - [j2]Darian M. Onchis, Ruqiang Yan, Pavel Rajmic:
Time-frequency methods for condition based maintenance and modal analysis. Signal Process. 96: iv-v (2014) - [c7]Pavel Rajmic, Zdenek Prusa, Christoph Wiesmeyr:
Computational cost of Chirp Z-transform and Generalized Goertzel algorithm. EUSIPCO 2014: 1004-1008 - [i1]Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic:
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR abs/1410.0719 (2014) - 2012
- [j1]Petr Sysel, Pavel Rajmic
Goertzel algorithm generalized to non-integer multiples of fundamental frequency. EURASIP J. Adv. Signal Process. 2012: 56 (2012) - 2011
- [c6]Zdenek Prusa, Pavel Rajmic
Segmented computation of wavelet transform via lifting scheme. TSP 2011: 433-437
2000 – 2009
- 2009
- [c5]Pavel Rajmic
Theoretical Analysis of EDCA Medium Access-Control Method in Simplified Network Environment. ICN 2009: 197-201 - 2007
- [c4]Jan Maly, Pavel Rajmic
Fast lifting wavelet transform and its implementation in Java. PWC 2007: 488-496 - [c3]Jan Vlach, Pavel Rajmic
Optimized discrete wavelet transform to real-time digital signal processing. PWC 2007: 514-520 - 2005
- [c2]Pavel Rajmic:
Method for Real-Time Signal Processing Via Wavelet Transform. NOLISP 2005: 368-378 - 2003
- [c1]Pavel Rajmic
Exact risk analysis of wavelet spectrum thresholding rules. ICECS 2003: 455-458
Coauthor Index
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last updated on 2024-12-01 01:11 CET by the dblp team
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