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On Solving the Shortest Basis Problem Based ...
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由 S Lyu 著作2020被引用 1 次 — Abstract: Low-complexity lattice reduction algorithms are generally not optimized for solving the shortest basis problem (SBP).
On Solving the Shortest Basis Problem Based on ...
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由 S Lyu 著作2020被引用 1 次 — Abstract—Low-complexity lattice reduction algorithms are generally not optimized for solving the shortest basis problem.
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On Solving the Shortest Basis Problem Based ...
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2024年10月22日 — Low-complexity lattice reduction algorithms are generally not optimized for solving the shortest basis problem (SBP).
On Solving the Shortest Basis Problem Based on Sequential ...
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This work proposes to employ successive interference cancellation (SIC) as a subroutine inside SR, and the whole algorithm is referred to as SR-SIC, ...
On Solving the Shortest Basis Problem Based on Sequential ...
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作者 Shangxiang Lyu;Zheng Wang;Ling Liu. 成果类型 期刊论文. 收录情况 SCIE. 期刊名称 IEEE Communications Letter. 卷 25#5. 发表日期 2021. 页数范围 1515#1519.
Shanxiang Lyu 吕善翔 - Publications
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... On Solving the Shortest Basis Problem Based on Sequential Reduction." IEEE Communications Letters, 25(5): 1515-1519 (2021). [8] Shanxiang Lyu, Zhaoshan Wang ...
On Solving the Shortest Basis Problem Based on Sequential ...
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On Solving the Shortest Basis Problem Based on Sequential Reduction. 2021. 期刊 IEEE Communications Letters. 作者 Shanxiang Lyu · Zheng Wang · Ling Liu · 下载 ...
Low-dimensional lattice basis reduction revisited
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由 PQ Nguyen 著作2009被引用 202 次 — Lattice reduction is a geometric generalization of the problem of computing greatest common divisors. Most of the interesting algorithmic problems related ...
Lattice-Reduction-Aided and Integer-Forcing Equalization
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On Solving the Shortest Basis Problem Based on Sequential Reduction. Article. Dec 2020. Shanxiang Lyu · Zheng Wang · Ling Liu. Low-complexity lattice ...
Fast Lattice Basis Reduction Suitable for Massive ...
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由 T Teruya 著作2018被引用 30 次 — ENUM and its vari- ants are used as the main routine or subroutine to solve the shortest lattice vector problem. (SVP), as explained in Section 2.3. Thus ...
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