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We study a class of Linear Feedback Shift Registers (LFSRs) with characteristic polynomial $f(x)=p(x)q(x)$ where $p(x)$ and $q(x)$ are distinct irreducible polynomials in $\F_2[x]$. Important properties of the LFSRs, such as the cycle…

Information Theory · Computer Science 2018-06-11 Zuling Chang , Martianus Frederic Ezerman , San Ling , Huaxiong Wang

In this paper we propose a simple and efficient strategy to obtain a data structure generator to accomplish a perfect hash of quite general order restricted multidimensional arrays named {\em phormas}. The constructor of such objects gets…

Discrete Mathematics · Computer Science 2007-05-23 Lauro Lins , Sostenes Lins , Silvio Melo

Yao graphs are geometric spanners that connect each point of a given point set to its nearest neighbor in each of $k$ cones drawn around it. Yao graphs were introduced to construct minimum spanning trees in $d$ dimensional spaces. Moreover,…

Computational Geometry · Computer Science 2023-03-15 Daniel Funke , Peter Sanders

As a randomized learner model, SCNs are remarkable that the random weights and biases are assigned employing a supervisory mechanism to ensure universal approximation and fast learning. However, the randomness makes SCNs more likely to…

Machine Learning · Computer Science 2022-05-27 Wei Dai , Chuanfeng Ning , Shiyu Pei , Song Zhu , Xuesong Wang

This paper proposes orthogonal time sequency multiplexing (OTSM), a novel single carrier modulation scheme that places information symbols in the delay-sequency domain followed by a cascade of time-division multiplexing (TDM) and…

Signal Processing · Electrical Eng. & Systems 2021-06-22 Tharaj Thaj , Emanuele Viterbo , Yi Hong

This letter deals with the opportunistic beamforming (OBF) scheme for multi-antenna downlink with spatial randomness. In contrast to conventional OBF, the terminals return only 1-bit feedback, which is powered by wireless power transfer…

Information Theory · Computer Science 2016-11-15 Ioannis Krikidis

Chan, Har-Peled, and Jones [2020] recently developed locality-sensitive ordering (LSO), a new tool that allows one to reduce problems in the Euclidean space $\mathbb{R}^d$ to the $1$-dimensional line. They used LSO's to solve a host of…

Data Structures and Algorithms · Computer Science 2022-03-01 Arnold Filtser , Hung Le

In this paper, we construct three binary linear codes $C(SO^{-}(2,q))$, $C(O^{-}(2,q))$, $C(SO^{-}(4,q))$, respectively associated with the orthogonal groups $SO^{-}(2,q)$, $O^{-}(2,q)$, $SO^{-}(4,q)$, with $q$ powers of two. Then we obtain…

Number Theory · Mathematics 2008-08-25 Dae San Kim

A special class of orthogonal rational functions (ORFs) is presented in this paper. Starting with a sequence of ORFs and the corresponding rational functions of the second kind, we define a new sequence as a linear combination of the…

Classical Analysis and ODEs · Mathematics 2010-09-01 K. Deckers , M. J. Cantero , L. Moral , L. Velazquez

This paper presents $\mathbf{OLinear}$, a $\mathbf{linear}$-based multivariate time series forecasting model that operates in an $\mathbf{o}$rthogonally transformed domain. Recent forecasting models typically adopt the temporal forecast…

Machine Learning · Computer Science 2025-05-15 Wenzhen Yue , Yong Liu , Haoxuan Li , Hao Wang , Xianghua Ying , Ruohao Guo , Bowei Xing , Ji Shi

We show that the compressed suffix array and the compressed suffix tree of a string $T$ can be built in $O(n)$ deterministic time using $O(n\log\sigma)$ bits of space, where $n$ is the string length and $\sigma$ is the alphabet size.…

Data Structures and Algorithms · Computer Science 2016-11-15 J. Ian Munro , Gonzalo Navarro , Yakov Nekrich

In a recent work [Proc. Natl. Acad. Sci. USA 108, 3838 (2011)], Schneider et al. proposed a new measure for network robustness and investigated optimal networks with respect to this quantity. For networks with a power-law degree…

Physics and Society · Physics 2011-08-10 Zhi-Xi Wu , Petter Holme

We present a new application of multi-orbit cyclic subspace codes to construct large optical orthogonal codes, with the aid of the multiplicative structure of finite fields extensions. This approach is different from earlier approaches…

Information Theory · Computer Science 2024-05-30 Ferruh Ozbudak , Paolo Santonastaso , Ferdinando Zullo

We give a new method to construct isolated left orderings of groups whose positive cones are finitely generated. Our construction uses an amalgamated free product of two groups having an isolated ordering. We construct a lot of new examples…

Group Theory · Mathematics 2013-02-21 Tetsuya Ito

It is a highly desirable property for deep networks to be robust against small input changes. One popular way to achieve this property is by designing networks with a small Lipschitz constant. In this work, we propose a new technique for…

Machine Learning · Computer Science 2023-09-04 Bernd Prach , Christoph H. Lampert

Orthogonal Frequency Division Multiple Access (OFDMA) with Dynamic spectrum allocation (DSA) is able to provide a wide range of data rate requirements. This paper is focused on the design of preamble sequences in OFDMA systems with low…

Information Theory · Computer Science 2020-02-18 Yajing Zhou , Zhengchun Zhou , Zilong Liu , Pingzhi Fan , Yong Liang Guan

We introduce a novel approach to perform first-order optimization with orthogonal and unitary constraints. This approach is based on a parametrization stemming from Lie group theory through the exponential map. The parametrization…

Machine Learning · Computer Science 2019-09-23 Mario Lezcano-Casado , David Martínez-Rubio

In literatures, there are various constructions of frequency hopping sequence (FHS for short) sets with good Hamming correlations. Some papers employed only multiplicative groups of finite fields to construct FHS sets, while other papers…

Information Theory · Computer Science 2018-12-24 Xianhua Niu , Chaoping Xing

We show that the compressed suffix array and the compressed suffix tree for a string of length $n$ over an integer alphabet of size $\sigma\leq n$ can both be built in $O(n)$ (randomized) time using only $O(n\log\sigma)$ bits of working…

Data Structures and Algorithms · Computer Science 2016-05-24 Djamal Belazzougui

Tensor networks are powerful factorization techniques which reduce resource requirements for numerically simulating principal quantum many-body systems and algorithms. The computational complexity of a tensor network simulation depends on…

Data Structures and Algorithms · Computer Science 2019-03-06 Eugene F. Dumitrescu , Allison L. Fisher , Timothy D. Goodrich , Travis S. Humble , Blair D. Sullivan , Andrew L. Wright