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In this talk we consider the maximum absolute value in the autocorrelation spectrum (not considering the zero point) of balanced Boolean function. The long-standing open question in this area is to ob...
Spatial autocorrelation is a parameter of importance for network data analysis. To estimate spatial autocorrelation, maximum likelihood has been popularly used. However, its rigorous implementation re...
Most spatial data in GIS are not independent, they have high autocorrelation. For example, temperatures of nearby locations are often related. Most of the spatial association rule mining algorithms de...
Based on the self-characteristic of digital watermarking techniques and the multi-statistic theory, this paper makes a research on the watermark autocorrelation detection. First, the setting of detect...
In this paper we present a method to assess the significance of the correlation coefficient when at least one of the variables is spatially autocorrelated. The standard test assumes independence of th...
To deal with the problem of spectral variability in high resolution satellite images, this paper focuses on the analysis and modelling of spatial autocorrelation feature. The semivariograms are used t...
Abstract: We propose a method based on probabilistic arguments to study the convexity of the autocorrelation function of processes associated with a single server queue. To illustrate the power of the...
利用全局空间统计方法Moran’s I和局部空间统计方法LISA研究了小汤山国家精准农业基地2001~2006年小麦产量及两种气候模式下产量的空间变异和空间关联。研究结果表明,不同年份产量及气候模式下均存在极显著的空间自相关;全局和局部空间自相关分析表明,试验地块的东北部、西部和南部区域存在极显著的空间自相关,但东北部和西部区域在不同的气候模式下产量变化幅度较大,而南部区域产量趋于稳定。
This paper describes four methods for estimating autocorrelation time and evaluates these methods with a test set of seven series. Fitting an autoregressive process appears to be the most accurate met...
Boolean functions with high nonlinearity and good autocorrelation properties play an important role in the design of block ciphers and stream ciphers. In this paper, we give a method to construct bala...
The paper presents an approach to estimate parameters of a local stationary AR(1) time series model by maximization of a local likelihood function. The method is based on a propagation-separation proc...
As a consequence of misspecification of the hemodynamic response and noise variance models, tests on general linear model coe cients are not valid. Robust estimation of the variance of the general lin...
A living body is receiving quite a lot of information from the external world through sensitive organs for life-supporting. Recently, various physical sensors which measure physical quantity have been...
An Integral Inequality Bounding the Autocorrelation of a Pulse or Sequence at a Known Lag.
The autocorrelation functions of temperature and salinity in the three basins (Ulleung, Japan, and Yamato Basins) of the Japan/East Sea are computed using the U.S. Navy's Master Oceanographic Observat...

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