A New Class of Binary Constant Weight Codes Derived by Groups of Linear Fractional Mappings(Coding Theory,<Special Section>Information Theory and Its Applications)
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概要
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Let A(n,d,w) denote the maximum possible number of code words in binary (n,d,w) constant weight codes. For smaller instances of (n,d,w)s, many improvements have occurred over the decades. However, unknown instances still remain for larger (n,d,w)s (for example, those of n>30 and d>10). In this paper, we propose a new class of binary constant weight codes that fill in the remaining blank instances of (n,d,w)s. Specifically, we establish several new non-trivial lower bounds such as 336 for A(64,12,8), etc. (listed in Table 2). To obtain these results, we have developed a new systematic technique for construction by means of groups acting on some sets. The new technique is performed by considering a triad (G,Ω,f):=("Group G," "Set Ω," "Action f on Ω") simultaneously. Our results described in Sect. 3 are obtained by using permutations of the elements of a set that include ∞ homogeneously like the other elements, which play a role to improve their randomness. Specifically, in our examples, we adopt the following model such as (PGL_2(F_q), P^1(F_q), "linear fractional action of subgroups of PGL_2(F_q) on P^1(F_q)") as a typical construction model. Moreover, as an application, the essential examples in [7] constructed by using an alternating group are again reconstructed with our new technique of a triad model, after which they are all systematically understood in the context of finite subgroups that act fractionally on a projective space over a finite field.
- 一般社団法人電子情報通信学会の論文
- 2006-10-01
著者
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Imai Jun
Ntt Communication Science Laboratories Ntt Corporation
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Shiraki Yoshinao
Department Of Information Science Shonan Institute Of Technology
関連論文
- New Binary Constant Weight Codes Based on Cayley Graphs of Groups and Their Decoding Methods(Coding Theory, Information Theory and Its Applications)
- A New Class of Binary Constant Weight Codes Derived by Groups of Linear Fractional Mappings(Coding Theory,Information Theory and Its Applications)
- New Binary Nonlinear Codes of Constant Weights and Their Decoding Methods