Kaydedildi:
| Yazar: | |
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| Materyal Türü: | Recurso digital |
| Dil: | |
| Baskı/Yayın Bilgisi: |
Zenodo
2025
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| Konular: | |
| Online Erişim: | https://doi.org/10.5281/zenodo.17821104 |
| Etiketler: |
Etiketle
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İçindekiler:
- <p>This preprint introduces Spiral Data Compression (SDC), a geometric encoding framework that distributes <br>information along logarithmic spiral coordinates. The method reduces redundancy, eliminates block artifacts, <br>improves reconstructability, and enhances noise resilience by leveraging self-similarity and exponential scaling. <br>Applications include audio codecs, image encoding, vector compression, high-dimensional data clustering, <br>sensor data processing, and AI preprocessing.</p>