An upper bound on the aperiodic autocorrelation function for a maximal-length sequence (Corresp.)

1984 ◽  
Vol 30 (4) ◽  
pp. 685-687 ◽  
Author(s):  
D. Sarwate
1985 ◽  
Vol 50 (2) ◽  
pp. 339-343 ◽  
Author(s):  
Roel de Vrijer

Let M be a term of the type free λ-calculus and let be a set of occurrences of redexes in M. A reduction sequence from M which first contracts a member of and afterwards only residuals of is called a development (of M with respect to ). The finite developments theorem says that developments are always finite.There are several proofs of this theorem in the literature. A plausible strategy is to define some kind of measure for pairs (M, ), which—if M′ results from M by contracting a redex occurrence in and ′ is the set of residuals of in M′— decreases in passing from (M, ) to (M′, ′). This procedure is followed as a matter of fact in the proofs in Hyland [4] and in Barendregt [1] (both are covered in Klop [5]). If, as in the latter proof, the natural numbers are used as measures, then the measure of (M, ) will actually denote an upper bound of the number of reduction steps in a development of M with respect to .In the present proof we straightforwardly define for each pair (M, ) a natural number, which can easily be seen to indicate the exact number of reduction steps in a development of maximal length of M with respect to .


Author(s):  
Gergely Ambrus ◽  
Máté Matolcsi

AbstractWe improve the best known upper bound on the density of a planar measurable set A containing no two points at unit distance to 0.25442. We use a combination of Fourier analytic and linear programming methods to obtain the result. The estimate is achieved by means of obtaining new linear constraints on the autocorrelation function of A utilizing triple-order correlations in A, a concept that has not been previously studied.


2012 ◽  
Vol 22 (06) ◽  
pp. 499-515
Author(s):  
THOMAS BINDER ◽  
THOMAS MARTINETZ

For a finite set of points X on the unit hypersphere in ℝd we consider the iteration ui+1 = ui + χi, where χi is the point of X farthest from ui. Restricting to the case where the origin is contained in the convex hull of X we study the maximal length of ui. We give sharp upper bounds for the length of ui independently of X. Precisely, this upper bound is infinity for d ≥ 3 and [Formula: see text] for d = 2.


Author(s):  
Sergey Sharov ◽  
Sergey Tolmachev

Introduction: The parameters chosen for complex coded signals used in active radar systems of aircraft for detecting objects largelydetermines their qualitative characteristics and the possibility of covert operation. An important task in the design of such on-boardsystems is the formation of ensembles of pseudorandom-noise binary code sequences of a fixed length with predefined characteristics.Purpose: Search for PRN binary code sequences of a given length, optimal by the criterion of the minimum level of the sidelobes of theaperiodic autocorrelation function. Results: A procedure of search for binary code sequences with specified parameters based on theevolutionary approach is proposed. The minimum level of positive sidelobes of the autocorrelation function is used as a criterion forthe selection of code sequences. An additional restriction is imposed on the length of a substring of codes of the same character. Thepossibility of forming a representative array of sequences with the best ratio of the main peak of the aperiodic autocorrelation functionto its maximum positive sidelobe is shown on the example of 31-bit code sequences. An algorithm is proposed for generating a PRNseries of signals using the code sequences found. The Hamming distance is used as a measure of the difference between two binary codesequences in the series. The proposed approach is advantageous as compared to the well-known method of generating PRN signals basedon pseudorandom m-sequences. Practical relevance: The results obtained can be used in algorithms of airborne radar systems with ahigh range resolution to detect physical objects on the background of an underlying surface, for example, objects on the water surface.


10.37236/3765 ◽  
2014 ◽  
Vol 21 (3) ◽  
Author(s):  
Benjamin Gunby
Keyword(s):  

A permutation $\sigma\in S_n$ is a $k$-separator if all of its patterns of length $k$ are distinct. Let $F(k)$ denote the maximal length of a $k$-separator. Hegarty (2013) showed that $k+\left\lfloor\sqrt{2k-1}\right\rfloor-1\leq F(k)\leq k+\left\lfloor\sqrt{2k-3}\right\rfloor$, and conjectured that $F(k)=k+\left\lfloor\sqrt{2k-1}\right\rfloor-1$. This paper will strengthen the upper bound to prove the conjecture for all sufficiently large $k$ (in particular, for all $k\geq 320801$).


Author(s):  
P. Fraundorf ◽  
B. Armbruster

Optical interferometry, confocal light microscopy, stereopair scanning electron microscopy, scanning tunneling microscopy, and scanning force microscopy, can produce topographic images of surfaces on size scales reaching from centimeters to Angstroms. Second moment (height variance) statistics of surface topography can be very helpful in quantifying “visually suggested” differences from one surface to the next. The two most common methods for displaying this information are the Fourier power spectrum and its direct space transform, the autocorrelation function or interferogram. Unfortunately, for a surface exhibiting lateral structure over several orders of magnitude in size, both the power spectrum and the autocorrelation function will find most of the information they contain pressed into the plot’s origin. This suggests that we plot power in units of LOG(frequency)≡-LOG(period), but rather than add this logarithmic constraint as another element of abstraction to the analysis of power spectra, we further recommend a shift in paradigm.


ALQALAM ◽  
2015 ◽  
Vol 32 (2) ◽  
pp. 284
Author(s):  
Muhammad Subali ◽  
Miftah Andriansyah ◽  
Christanto Sinambela

This article aims to look at the similarities and differences in the fundamental frequency and formant frequencies using the autocorrelation function and LPCfunction in GUI MATLAB 2012b on sound hijaiyah letters for adult male speaker beginner and expert based on makhraj pronunciation and both of speaker will be analysis on matching distance of the sound use DTW method on cepstrum. Subject for speech beginner makhraj pronunciation are taken from college student of Universitas Gunadarma and SITC aged 22 years old Data of the speech beginner makhraj pronunciation is recorded using MATLAB algorithm on GUI Subject for speech expert makhraj pronunciation are taken from previous research. They are 20-30 years old from the time of taking data. The sound will be extracted to get the value of the fundamental frequency and formant frequency. After getting both frequencies, it will be obtained analysis of the similarities and differences in the fundamental frequency and formant frequencies of speech beginner and expert and it will shows matching distance of both speech. The result is all of speech beginner and expert based on makhraj pronunciation have different values of fundamental frequency and formant frequency. Then the results of the analysis matching distance using method DTW showed that obtained in the range of 28.9746 to 136.4 between speech beginner and expert based on makhraj pronunciation. Keywords: fundamental frequency, formant frequency, hijaiyah letters, makhraj


Sign in / Sign up

Export Citation Format

Share Document