University of Twente Student Theses
Losslessly compressing radio spectrum related data for archival
Vos, D. (2023) Losslessly compressing radio spectrum related data for archival.
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| Abstract: | This study looks into the lossless compression of radio spectrum related data. This concerns data that is already lossy compressed. The goal of the study is to find a compression algorithm that can perform sufficiently fast and simultaneously be efficient, i.e. limit the amount of storage that the compressed data will take up. This study is part of a larger research at the University of Twente into the archival of radio spectrum data. Bzip2, zpaq and zstd are explored in more detail in this study and are applied and benchmarked on smaller chunks of data. Within the scope of this study it can be concluded that bzip2 is most suitable for the compression of data from this type. However, there is room for further research into this area and a better algorithm could potentially be found. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/94377 |
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