3,647 research outputs found

    Shift-Inequivalent Decimations of the Sidelnikov-Lempel-Cohn-Eastman Sequences

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    We consider the problem of finding maximal sets of shift-inequivalent decimations of Sidelnikov-Lempel-Cohn-Eastman (SLCE) sequences (as well as the equivalent problem of determining the multiplier groups of the almost difference sets associated with these sequences). We derive a numerical necessary condition for a residue to be a multiplier of an SLCE almost difference set. Using our necessary condition, we show that if pp is an odd prime and SS is an SLCE almost difference set over Fp,\mathbb{F}_p, then the multiplier group of SS is trivial. Consequently, for each odd prime p,p, we obtain a family of Ο•(pβˆ’1)\phi(p-1) shift-inequivalent balanced periodic sequences (where Ο•\phi is the Euler-Totient function) each having period pβˆ’1p-1 and nearly perfect autocorrelation

    Crosscorrelation of Rudin-Shapiro-Like Polynomials

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    We consider the class of Rudin-Shapiro-like polynomials, whose L4L^4 norms on the complex unit circle were studied by Borwein and Mossinghoff. The polynomial f(z)=f0+f1z+β‹―+fdzdf(z)=f_0+f_1 z + \cdots + f_d z^d is identified with the sequence (f0,f1,…,fd)(f_0,f_1,\ldots,f_d) of its coefficients. From the L4L^4 norm of a polynomial, one can easily calculate the autocorrelation merit factor of its associated sequence, and conversely. In this paper, we study the crosscorrelation properties of pairs of sequences associated to Rudin-Shapiro-like polynomials. We find an explicit formula for the crosscorrelation merit factor. A computer search is then used to find pairs of Rudin-Shapiro-like polynomials whose autocorrelation and crosscorrelation merit factors are simultaneously high. Pursley and Sarwate proved a bound that limits how good this combined autocorrelation and crosscorrelation performance can be. We find infinite families of polynomials whose performance approaches quite close to this fundamental limit.Comment: 32 page

    Autocorrelation-Run Formula for Binary Sequences

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    The autocorrelation function and the run structure are two basic notions for binary sequences, and have been used as two independent postulates to test randomness of binary sequences ever since Golomb 1955. In this paper, we prove for binary sequence that the autocorrelation function is in fact completely determined by its run structure.Comment: 18 pages, 1 figur

    Low Correlation Sequences from Linear Combinations of Characters

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    Pairs of binary sequences formed using linear combinations of multiplicative characters of finite fields are exhibited that, when compared to random sequence pairs, simultaneously achieve significantly lower mean square autocorrelation values (for each sequence in the pair) and significantly lower mean square crosscorrelation values. If we define crosscorrelation merit factor analogously to the usual merit factor for autocorrelation, and if we define demerit factor as the reciprocal of merit factor, then randomly selected binary sequence pairs are known to have an average crosscorrelation demerit factor of 11. Our constructions provide sequence pairs with crosscorrelation demerit factor significantly less than 11, and at the same time, the autocorrelation demerit factors of the individual sequences can also be made significantly less than 11 (which also indicates better than average performance). The sequence pairs studied here provide combinations of autocorrelation and crosscorrelation performance that are not achievable using sequences formed from single characters, such as maximal linear recursive sequences (m-sequences) and Legendre sequences. In this study, exact asymptotic formulae are proved for the autocorrelation and crosscorrelation merit factors of sequence pairs formed using linear combinations of multiplicative characters. Data is presented that shows that the asymptotic behavior is closely approximated by sequences of modest length.Comment: 47 page

    Aperiodic Crosscorrelation of Sequences Derived from Characters

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    It is shown that pairs of maximal linear recursive sequences (m-sequences) typically have mean square aperiodic crosscorrelation on par with that of random sequences, but that if one takes a pair of m-sequences where one is the reverse of the other, and shifts them appropriately, one can get significantly lower mean square aperiodic crosscorrelation. Sequence pairs with even lower mean square aperiodic crosscorrelation are constructed by taking a Legendre sequence, cyclically shifting it, and then cutting it (approximately) in half and using the halves as the sequences of the pair. In some of these constructions, the mean square aperiodic crosscorrelation can be lowered further if one truncates or periodically extends (appends) the sequences. Exact asymptotic formulae for mean squared aperiodic crosscorrelation are proved for sequences derived from additive characters (including m-sequences and modified versions thereof) and multiplicative characters (including Legendre sequences and their relatives). Data is presented that shows that sequences of modest length have performance that closely approximates the asymptotic formulae.Comment: 54 page

    The Proof of Lin's Conjecture via the Decimation-Hadamard Transform

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    In 1998, Lin presented a conjecture on a class of ternary sequences with ideal 2-level autocorrelation in his Ph.D thesis. Those sequences have a very simple structure, i.e., their trace representation has two trace monomial terms. In this paper, we present a proof for the conjecture. The mathematical tools employed are the second-order multiplexing decimation-Hadamard transform, Stickelberger's theorem, the Teichm\"{u}ller character, and combinatorial techniques for enumerating the Hamming weights of ternary numbers. As a by-product, we also prove that the Lin conjectured ternary sequences are Hadamard equivalent to ternary mm-sequences

    Large Families of Optimal Two-Dimensional Optical Orthogonal Codes

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    Nine new 2-D OOCs are presented here, all sharing the common feature of a code size that is much larger in relation to the number of time slots than those of constructions appearing previously in the literature. Each of these constructions is either optimal or asymptotically optimal with respect to either the original Johnson bound or else a non-binary version of the Johnson bound introduced in this paper. The first 5 codes are constructed using polynomials over finite fields - the first construction is optimal while the remaining 4 are asymptotically optimal. The next two codes are constructed using rational functions in place of polynomials and these are asymptotically optimal. The last two codes, also asymptotically optimal, are constructed by composing two of the above codes with a constant weight binary code. Also presented, is a three-dimensional OOC that exploits the polarization dimension. Finally, phase-encoded optical CDMA is considered and construction of two efficient codes are provided

    Advances in the merit factor problem for binary sequences

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    The identification of binary sequences with large merit factor (small mean-squared aperiodic autocorrelation) is an old problem of complex analysis and combinatorial optimization, with practical importance in digital communications engineering and condensed matter physics. We establish the asymptotic merit factor of several families of binary sequences and thereby prove various conjectures, explain numerical evidence presented by other authors, and bring together within a single framework results previously appearing in scattered form. We exhibit, for the first time, families of skew-symmetric sequences whose asymptotic merit factor is as large as the best known value (an algebraic number greater than 6.34) for all binary sequences; this is interesting in light of Golay's conjecture that the subclass of skew-symmetric sequences has asymptotically optimal merit factor. Our methods combine Fourier analysis, estimation of character sums, and estimation of the number of lattice points in polyhedra.Comment: 31 pages, minor revision

    Impact of Different Spreading Codes Using FEC on DWT Based MC-CDMA System

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    The effect of different spreading codes in DWT based MC-CDMA wireless communication system is investigated. In this paper, we present the Bit Error Rate (BER) performance of different spreading codes (Walsh-Hadamard code, Orthogonal gold code and Golay complementary sequences) using Forward Error Correction (FEC) of the proposed system. The data is analyzed and is compared among different spreading codes in both coded and uncoded cases. It is found via computer simulation that the performance of the proposed coded system is much better than that of the uncoded system irrespective of the spreading codes and all the spreading codes show approximately similar nature for both coded and uncoded in all modulation schemes.Comment: 10 Pages; International Journal of Mobile Network Communications & Telematics (IJMNCT) Vol.2, No.3, June 201

    On Binary Cyclic Codes with Five Nonzero Weights

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    Let q=2nq=2^n, 0≀k≀nβˆ’10\leq k\leq n-1, n/gcd⁑(n,k)n/\gcd(n,k) be odd and kβ‰ n/3,2n/3k\neq n/3, 2n/3. In this paper the value distribution of following exponential sums \sum\limits_{x\in \bF_q}(-1)^{\mathrm{Tr}_1^n(\alpha x^{2^{2k}+1}+\beta x^{2^k+1}+\ga x)}\quad(\alpha,\beta,\ga\in \bF_{q}) is determined. As an application, the weight distribution of the binary cyclic code \cC, with parity-check polynomial h1(x)h2(x)h3(x)h_1(x)h_2(x)h_3(x) where h1(x)h_1(x), h2(x)h_2(x) and h3(x)h_3(x) are the minimal polynomials of Ο€βˆ’1\pi^{-1}, Ο€βˆ’(2k+1)\pi^{-(2^k+1)} and Ο€βˆ’(22k+1)\pi^{-(2^{2k}+1)} respectively for a primitive element Ο€\pi of \bF_q, is also determined
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