Academic Journal
Sparse wavefield reconstruction and denoising with boostlets
| Τίτλος: | Sparse wavefield reconstruction and denoising with boostlets |
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| Συγγραφείς: | Zea, Elias, Laudato, Marco, Andén, Joakim |
| Πηγή: | 2025 International Conference on Sampling Theory and Applications (SampTA). :1-5 |
| Publication Status: | Preprint |
| Στοιχεία εκδότη: | IEEE, 2025. |
| Έτος έκδοσης: | 2025 |
| Θεματικοί όροι: | FOS: Computer and information sciences, Sound (cs.SD), Beräkningsmatematik, wavefields, Signalbehandling, Fluid Mechanics, multi-scale representations, sparse reconstruction, Strömningsmekanik, Computer Science - Sound, Computational Mathematics, Audio and Speech Processing (eess.AS), Signal Processing, denoising, FOS: Electrical engineering, electronic engineering, information engineering, boostlets, Electrical Engineering and Systems Science - Audio and Speech Processing |
| Περιγραφή: | Boostlets are spatiotemporal functions that decompose nondispersive wavefields into a collection of localized waveforms parametrized by dilations, hyperbolic rotations, and translations. We study the sparsity properties of boostlets and find that the resulting decompositions are significantly sparser than those of other state-of-the-art representation systems, such as wavelets and shearlets. This translates into improved denoising performance when hard-thresholding the boostlet coefficients. The results suggest that boostlets offer a natural framework for sparsely decomposing wavefields in unified space-time. 5 pages, 4 figures |
| Τύπος εγγράφου: | Article Conference object |
| Περιγραφή αρχείου: | application/pdf |
| DOI: | 10.1109/sampta64769.2025.11133531 |
| DOI: | 10.48550/arxiv.2502.08230 |
| Σύνδεσμος πρόσβασης: | http://arxiv.org/abs/2502.08230 http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-369265 |
| Rights: | STM Policy #29 CC BY |
| Αριθμός Καταχώρησης: | edsair.doi.dedup.....12bacf3375209aebfbd6d1c494c61ccf |
| Βάση Δεδομένων: | OpenAIRE |
| DOI: | 10.1109/sampta64769.2025.11133531 |
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