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The autocorrelation of a sequence is a useful criterion, among all, of resistance to cryptographic attacks. The behavior of the autocorrelations of random Boolean functions (studied by Florian Caullery, Eric F\'erard and Fran\c{c}ois Rodier…

Information Theory · Computer Science 2024-10-16 Florian Caullery , Eric F Érard , François Rodier

We define a new class of binary matrices by maximizing the peak-sidelobe distances in the aperiodic autocorrelations. These matrices can be used as robust position marks for in-plane spatial alignment. The optimal square matrices of…

Computer Vision and Pattern Recognition · Computer Science 2023-05-03 Scott A. Skirlo , Ling Lu , Marin Soljačić

We analyze the connection between the autocorrelation of a binary sequence and its run structure given by the run length encoding. We show that both the periodic and the aperiodic autocorrelation of a binary sequence can be formulated in…

Information Theory · Computer Science 2013-08-05 Jürgen Willms

Sets of sequences with good correlation properties are desired in many active sensing and communication systems, e.g., multiple-input-multiple-output (MIMO) radar systems and code-division multiple-access (CDMA) cellular systems. In this…

Optimization and Control · Mathematics 2016-05-04 Junxiao Song , Prabhu Babu , Daniel P. Palomar

Sequences with good correlation properties are widely used in engineering applications, especially in the area of communications. Among the known sequences, cyclotomic families have the optimal autocorrelation property. In this paper, we…

Information Theory · Computer Science 2009-09-28 Kai Cai , Rongquan Feng , Zhiming Zheng

Binary periodic sequences with good autocorrelation property have many applications in many aspects of communication. In past decades many series of such binary sequences have been constructed. In the application of cryptography, such…

Information Theory · Computer Science 2021-05-31 Qiuyue Liu , Shiyuan Qiang , Minghui Yang , Keqin Feng

We discuss a general method to construct correlated binomial distributions by imposing several consistent relations on the joint probability function. We obtain self-consistency relations for the conditional correlations and conditional…

Data Analysis, Statistics and Probability · Physics 2007-05-23 M. Hisakado , K. Kitsukawa , S. Mori

Binary sequences with low autocorrelations are important in communication engineering and in statistical mechanics as groundstates of the Bernasconi-model. Computer searches are the main tool to construct such sequences. Due to the…

Condensed Matter · Physics 2009-10-28 S. Mertens

Binary sequences with lower autocorrelation values have important applications in cryptography and communications. In this paper, we present all possible parameters for binary periodical sequences with a 2-level autocorrelation values. For…

Combinatorics · Mathematics 2018-04-12 X. Niu , H. Cao , K. Feng

Sequences with low auto-correlation property have been applied in code-division multiple access communication systems, radar and cryptography. Using the inverse Gray mapping, a quaternary sequence of even length $N$ can be obtained from two…

Information Theory · Computer Science 2017-05-17 W Su , Y Yang , Z Zhou , X Tang

Stochastic waveforms are constructed whose expected autocorrelation can be made arbitrarily small outside the origin. These waveforms are unimodular and complex-valued. Waveforms with such spike like autocorrelation are desirable in…

Information Theory · Computer Science 2012-07-24 Somantika Datta

The search for binary sequences with a high figure of merit, known as the low autocorrelation binary sequence ($labs$}) problem, represents a formidable computational challenge. To mitigate the computational constraints of the problem, we…

Data Structures and Algorithms · Computer Science 2017-05-09 Borko Bošković , Franc Brglez , Janez Brest

We investigate the behavior of optimal alignment paths for homologous (related) and independent random sequences. An alignment between two finite sequences is optimal if it corresponds to the longest common subsequence (LCS). We prove the…

Statistics Theory · Mathematics 2014-07-07 Jüri Lember , Heinrich Matzinger , Anna Vollmer

An $m$-sequence is the one of the largest period among those produced by a linear feedback shift register. It possesses several desirable features of pseudorandomness such as balance, uniform pattern distribution and ideal autocorrelation…

Information Theory · Computer Science 2022-03-23 Zhixiong Chen , Zhihua Niu , Yuqi Sang , Chenhuang Wu

Sequences with good randomness properties are quite important for stream ciphers. In this paper, a new class of quaternary sequences is constructed by using generalized cyclotomic classes of $\mathbb{Z}_{2p^m}$ $(m\geq1)$. The exact values…

Information Theory · Computer Science 2023-09-11 Qiuyan Wang , Weigang Kong , Yang Yan , Chenhuang Wu , Minghui Yang

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…

Information Theory · Computer Science 2017-03-28 Kelly T. R. Boothby , Daniel J. Katz

Analogously to de Bruijn sequences, orientable sequences have application in automatic position-location applications and, until recently, studies of these sequences focused on the binary case. In recent work by Alhakim et al., a range of…

Combinatorics · Mathematics 2026-03-20 Chris J Mitchell , Peter R Wild

We provide an up-to-date view of the structure of the energy landscape of the low autocorrelation binary sequences problem, a typical representative of the $NP$-hard class. To study the landscape features of interest we use the local optima…

Statistical Mechanics · Physics 2022-04-11 Marco Tomassini

In parametric sequence alignment, optimal alignments of two sequences are computed as a function of the penalties for mismatches and spaces, producing many different optimal alignments. Here we give a 3/(2^{7/3}\pi^{2/3})n^{2/3} +O(n^{1/3}…

Genomics · Quantitative Biology 2011-01-19 Cynthia Vinzant

Aperiodic autocorrelation is an important indicator of performance of sequences used in communications, remote sensing, and scientific instrumentation. Knowing a sequence's autocorrelation function, which reports the autocorrelation at…

Information Theory · Computer Science 2025-01-07 Daniel J. Katz , Adeebur Rahman , Michael J Ward