24 research outputs found

    A Class of Three-Weight Cyclic Codes

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    Cyclic codes are a subclass of linear codes and have applications in consumer electronics, data storage systems, and communication systems as they have efficient encoding and decoding algorithms. In this paper, a class of three-weight cyclic codes over \gf(p) whose duals have two zeros is presented, where pp is an odd prime. The weight distribution of this class of cyclic codes is settled. Some of the cyclic codes are optimal. The duals of a subclass of the cyclic codes are also studied and proved to be optimal.Comment: 11 Page

    A Family of Five-Weight Cyclic Codes and Their Weight Enumerators

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    Cyclic codes are a subclass of linear codes and have applications in consumer electronics, data storage systems, and communication systems as they have efficient encoding and decoding algorithms. In this paper, a family of pp-ary cyclic codes whose duals have three zeros are proposed. The weight distribution of this family of cyclic codes is determined. It turns out that the proposed cyclic codes have five nonzero weights.Comment: 14 Page

    Idempotent and p-potent quadratic functions: distribution of nonlinearity and co-dimension

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    The Walsh transform QˆQ^ of a quadratic function Q:Fpn→FpQ:Fpn→Fp satisfies |Qˆ(b)|∈{0,pn+s2}|Q^(b)|∈{0,pn+s2} for all b∈Fpnb∈Fpn , where 0≤s≤n−10≤s≤n−1 is an integer depending on Q. In this article, we study the following three classes of quadratic functions of wide interest. The class C1C1 is defined for arbitrary n as C1={Q(x)=Trn(∑⌊(n−1)/2⌋i=1aix2i+1):ai∈F2}C1={Q(x)=Trn(∑i=1⌊(n−1)/2⌋aix2i+1):ai∈F2} , and the larger class C2C2 is defined for even n as C2={Q(x)=Trn(∑(n/2)−1i=1aix2i+1)+Trn/2(an/2x2n/2+1):ai∈F2}C2={Q(x)=Trn(∑i=1(n/2)−1aix2i+1)+Trn/2(an/2x2n/2+1):ai∈F2} . For an odd prime p, the subclass DD of all p-ary quadratic functions is defined as D={Q(x)=Trn(∑⌊n/2⌋i=0aixpi+1):ai∈Fp}D={Q(x)=Trn(∑i=0⌊n/2⌋aixpi+1):ai∈Fp} . We determine the generating function for the distribution of the parameter s for C1,C2C1,C2 and DD . As a consequence we completely describe the distribution of the nonlinearity for the rotation symmetric quadratic Boolean functions, and in the case p>2p>2 , the distribution of the co-dimension for the rotation symmetric quadratic p-ary functions, which have been attracting considerable attention recently. Our results also facilitate obtaining closed formulas for the number of such quadratic functions with prescribed s for small values of s, and hence extend earlier results on this topic. We also present the complete weight distribution of the subcodes of the second order Reed–Muller codes corresponding to C1C1 and C2C2 in terms of a generating function

    Algebraic Codes For Error Correction In Digital Communication Systems

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    Access to the full-text thesis is no longer available at the author's request, due to 3rd party copyright restrictions. Access removed on 29.11.2016 by CS (TIS).Metadata merged with duplicate record (http://hdl.handle.net/10026.1/899) on 20.12.2016 by CS (TIS).C. Shannon presented theoretical conditions under which communication was possible error-free in the presence of noise. Subsequently the notion of using error correcting codes to mitigate the effects of noise in digital transmission was introduced by R. Hamming. Algebraic codes, codes described using powerful tools from algebra took to the fore early on in the search for good error correcting codes. Many classes of algebraic codes now exist and are known to have the best properties of any known classes of codes. An error correcting code can be described by three of its most important properties length, dimension and minimum distance. Given codes with the same length and dimension, one with the largest minimum distance will provide better error correction. As a result the research focuses on finding improved codes with better minimum distances than any known codes. Algebraic geometry codes are obtained from curves. They are a culmination of years of research into algebraic codes and generalise most known algebraic codes. Additionally they have exceptional distance properties as their lengths become arbitrarily large. Algebraic geometry codes are studied in great detail with special attention given to their construction and decoding. The practical performance of these codes is evaluated and compared with previously known codes in different communication channels. Furthermore many new codes that have better minimum distance to the best known codes with the same length and dimension are presented from a generalised construction of algebraic geometry codes. Goppa codes are also an important class of algebraic codes. A construction of binary extended Goppa codes is generalised to codes with nonbinary alphabets and as a result many new codes are found. This construction is shown as an efficient way to extend another well known class of algebraic codes, BCH codes. A generic method of shortening codes whilst increasing the minimum distance is generalised. An analysis of this method reveals a close relationship with methods of extending codes. Some new codes from Goppa codes are found by exploiting this relationship. Finally an extension method for BCH codes is presented and this method is shown be as good as a well known method of extension in certain cases

    두 p진 데시메이션 수열 간의 상호상관도

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    학위논문 (박사)-- 서울대학교 대학원 : 전기·컴퓨터공학부, 2017. 2. 노종선.In this dissertation, the cross-correlation between two differently decimated sequences of a pp-ary m-sequence is considered. Two main contributions are as follows. First, for an odd prime pp, n=2mn=2m, and a pp-ary m-sequence of period pn1p^n -1, the cross-correlation between two decimated sequences by 22 and dd are investigated. Two cases of dd, d=(pm+1)22d=\frac{(p^m +1)^2}{2} with pm1(mod4)p^m \equiv 1 \pmod4 and d=(pm+1)2pe+1d=\frac{(p^m +1)^2}{p^e +1} with odd m/em/e are considered. The value distribution of the cross-correlation function for each case is completely deterimined. Also, by using these decimated sequences, two new families of pp-ary sequences of period pn12\frac{p^n -1}{2} with good correlation property are constructed. Second, an upper bound on the magnitude of the cross-correlation function between two decimated sequences of a pp-ary m-sequence is derived. The two decimation factors are 22 and 2(pm+1)2(p^m +1), where pp is an odd prime, n=2mn=2m, and pm1(mod4)p^m \equiv 1 \pmod4. In fact, these two sequences corresponds to the sequences used for the construction of pp-ary Kasami sequences decimated by 22. The upper bound is given as 32pm+12\frac{3}{2}p^m + \frac{1}{2}. Also, using this result, an upper bound of the cross-correlation magnitude between a pp-ary m-sequence and its decimated sequence with the decimation factor d=(pm+1)22d=\frac{(p^m +1)^2}{2} is derived.1 Introduction 1 1.1 Background 1 1.2 Overview of This Dissertation 7 2 Preliminaries 9 2.1 Finite Fields 9 2.2 Trace Functions and Sequences 11 2.3 Cross-Correlation Between Two Sequences 13 2.4 Characters and Weils Bound 15 2.5 Trace-Orthogonal Basis 16 2.6 Known Exponential Sums 17 2.7 Cross-Correlation of pp-ary Kasami Sequence Family 18 2.8 Previous Results on the Cross-Correlation for Decimations with gcd(pn1,d)=pn/2+12\gcd(p^n -1, d)=\frac{p^{n/2}+1}{2} 20 2.9 Cross-Correlation Between Two Decimated Sequences by 22 and d=4d=4 or pn+12\frac{p^n +1}{2} 23 3 New pp-ary Sequence Families of Period pn12\frac{p^n -1}{2} with Good Correlation Property Using Two Decimated Sequences 26 3.1 Cross-Correlation for the Case of d=(pm+1)22d=\frac{(p^m +1)^2}{2} 27 3.2 Cross-Correlation for the Case of d=(pm+1)2pe+1d=\frac{(p^m +1)^2}{p^e +1} 37 3.3 Construction of New Sequence Families 43 4 Upper Bound on the Cross-Correlation Between Two Decimated pp-ary Sequences 52 4.1 Cross-Correlation Between s(2t+i)s(2t+i) and s(2(pm+1)t+j)s(2(p^m +1)t +j) 53 4.2 Cross-Correlation Between s(t)s(t) and s((pm+1)22t)s(\frac{(p^m +1)^2}{2} t) 66 5 Conclusions 69 Bibliography 72 Abstract (In Korean) 80Docto
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