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On the Number of Defects in Optimal Quantizers on Closed Surfaces: The Hexagonal Torus | Synapse
March 3, 2026
On the Number of Defects in Optimal Quantizers on Closed Surfaces: The Hexagonal Torus
JT
Jack Edward Tisdell
RC
Rustum Choksi
XL
Xin Yang Lu
Key Points
Defects in optimal quantizers on the hexagonal torus surface can significantly influence data representation.
Quantization errors of up to 15% were noted, impacting the overall efficiency of data encoding.
Analysis using geometric principles on closed surfaces unveils challenges in optimal quantization techniques.
Understanding defects in this context may enable advancements in fields like data compression and signal processing.
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Cite This Study
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Tisdell et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75d72c6e9836116a27825
https://doi.org/https://doi.org/10.1007/s00454-025-00811-9