Spiral Data Compression (SDC): A Self-Similar Spiral Framework for Efficient Data Encoding Article Swipe
SDC introduces a compression architecture based on spiral self-similarity, resonance mapping and geometric redundancy minimization.The model offers structure-preserving compression methods applicable to AI, databases and large-scale data processing.
Related Topics
Concepts
Data compression
Redundancy (engineering)
Computer science
Spiral (railway)
Encoding (memory)
Compression (physics)
Artificial intelligence
Algorithm
Image compression
Computer vision
Texture compression
Data redundancy
Lossless compression
Compression ratio
Data acquisition
Data modeling
Data model (GIS)
Pattern recognition (psychology)
Metadata
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- preprint
- Landing Page
- https://doi.org/10.5281/zenodo.17825284
- OA Status
- green
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All OpenAlex metadata
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https://openalex.org/W7109080778Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.17825284Digital Object Identifier
- Title
-
Spiral Data Compression (SDC): A Self-Similar Spiral Framework for Efficient Data EncodingWork title
- Type
-
preprintOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-12-05Full publication date if available
- Authors
-
Garbar, IrynaList of authors in order
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-
https://doi.org/10.5281/zenodo.17825284Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://doi.org/10.5281/zenodo.17825284Direct OA link when available
- Concepts
-
Data compression, Redundancy (engineering), Computer science, Spiral (railway), Encoding (memory), Compression (physics), Artificial intelligence, Algorithm, Image compression, Computer vision, Texture compression, Data redundancy, Lossless compression, Compression ratio, Data acquisition, Data modeling, Data model (GIS), Pattern recognition (psychology)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
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