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...

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...

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...

We demonstrate how it is possible to increase the sensitivity of current noise measurement systems by exploiting the properties of a differential transconductance amplifier coupled with a four channels measurement system. In particular, it is demonstrated that, in proper conditions and by a proper elaboration of the acquired signals, the noise contribution coming from the active and passive dev...

FIG. 1. The GDPTV method is based on a single-camera setup for determining the 3D particle positions via defocused particle images, where the particle images change as function of the depth coordinate. To get a target particle position, the particle image is compared to a set of calibration images by use of the normalized cross-correlation. The out-of-plane coordinate for the target particle is...

We study the cross-correlation between the spin and orbital parts of magnetic dipole transitions M1 in both isoscalar and isovector channels. In particular, we closely examine certain cases where ∑ B(M1) is very close to ∑ B(M1)σ + ∑ B(M1)l, implying a cancellation of the summed interference terms. We gain some insight into this problem by considering special cases approaching the SU(3) limit, ...

Abstract: The characteristics of convective clouds on infrared brightness temperature (BTIR) and brightness temperature difference (BTD) image were analyzed using successive Infrared and Visible Spin-Scan Radiometer (VISSR) data of FY-2, and an integrated detection method of convective clouds using infrared multi-thresholds in combination with tracking techniques was implemented. In this method...