Login
- Titel:
Quantized Enumerative Sphere Shaping
- Dokumenttyp:
- Konferenzbeitrag
- Art des Konferenzbeitrags:
- Textbeitrag / Aufsatz
- Autor(en):
- Savov, K.; Runge, C.
- Abstract:
- A generalization of enumerative sphere shaping is proposed, which allows efficient implementations of approximate minimum-cost distribution matching. This is made feasible by quantizing the trellis used to enumerate the code words. The quantization controls the storage complexity of the distribution matcher, while its computational complexity is largely independent of the quantization given the rate. Numerical results demonstrate near-optimal performance.
- Kongress- / Buchtitel:
- IEEE International Symposium on Information Theory (ISIT)
- Kongress / Zusatzinformationen:
- Ann Arbor, MI, USA
- Verlag / Institution:
- IEEE
- Publikationsdatum:
- 16.06.2025
- Jahr:
- 2025
- Monat:
- Jun
BibTeX
Vorkommen:
- mediaTUM GesamtbestandHochschulbibliographie2025SchoolsTUM School of Computation, Information and TechnologyNachrichtentechnik (Prof. Kramer)