This paper addresses the problem of estimation when the cross-correlation in the errors between diierent random variables are unknown. A new data fusion algorithm, the Covariance Intersection Algorithm(CI), is presented. It is proved that this algorithm yields consistent estimates irrespective of the actual correlations. This property is illustrated in an application of decentralised estimation...

We have measured the X-ray/optical cross-correlation functions (CCFs) of the two black hole binary systems SWIFT J1753.5−0127 and GX 339−4 using ULTRACAM and RXTE. We find each one is unique and different from the one such measurement in the literature, for XTE J1118+480. Our CCFs are inconsistent with reprocessing, and suggest a mechanism which regulates emission between the different spectral...

In this paper we examine two couplings that produce time-shifted synchronization in a pair of chaotic oscillators. The couplings do not utilize an explicit timedelay term. We characterize the observed synchronization by determining the dependence of the time shift and cross correlation between the drive and response oscillators on a tunable parameter. Our observations agree well with estimates ...

We propose in this paper a new class of model processes for the extraction of spectral information from the neural representation of acoustic signals in mammals. We are concerned particularly with mechanisms for detecting the phase-locked activity of auditory neurons in response to frequencies and intensities of sound associated with speech perception. Recent psychophysical tests on deaf human ...

Analyzing spatial-temporal characteristics of traffic in large-scale networks requires both a suitable analysis method and a means to reduce the amount of data that must be collected. Of particular interest would be techniques that reduce the amount of data needed, while simultaneously retaining the ability to monitor spatial-temporal behavior network-wide. In this paper, we propose such a meth...

One of the types of signals for which the LIGO interferometric gravitational wave detectors will search is a stochastic background of gravitational radiation. We review the technique of searching for a background using the optimally-filtered cross-correlation statistic, and describe the state of plans to perform such cross-correlations between the two LIGO interferometers as well as between LIG...

We consider the question of cross-correlation measurements using Virgo and the LSC Interferometers (LIGO Livingston, LIGO Hanford, and GEO600) to search for a stochastic gravitational-wave background. We find that inclusion of Virgo into the network will substantially improve the sensitivity to correlations above 200Hz if all detectors are operating at their design sensitivity. This is illustra...

We describe a new approach to constrain the amplitude of matter perturbations in the Universe using galaxy clusters. We combine the galaxy cluster X-ray luminosity function of the REFLEX survey with the mass– luminosity relationship obtained via gravitational lensing from a sample of galaxy clusters identified in Sloan Digital Sky Survey commissioning data and confirmed through cross-correlatio...

In this paper an analytical model is presented in order to capture multimedia traffic characteristics. Multimedia source is modeled by a Switched Batch Bernoulli Process (SBBP) model and traffic characteristics are evaluated in terms of autoand cross correlation functions and IDI of the multimedia conference data flow. Finally, the model is applied to calculate the probability density function ...

In this paper a new fast simplification method is presented. Such method realizes karnough map with large number of variables. In order to accelerate the operation of the proposed method, a new approach for fast detection of group of ones is presented. Such approach implemented in the frequency domain. The search operation relies on performing cross correlation in the frequency domain rather th...