In this study, we first build two empirical cross-correlationmatrices in the US stockmarket by two different methods, namely the Pearson’s correlation coefficient and the detrended cross-correlation coefficient (DCCA coefficient). Then, combining the twomatriceswith the method of random matrix theory (RMT), we mainly investigate the statistical properties of cross-correlations in the US stock m...

Many new binary sequences are obtained from Jacobi sequences with arbitrary starting points and investigated from the cryptographic viewpoint. Autocorrelation values of these new sequences and cross-correlation values between of them are calculated. The results show that these values may be very low and distributed flatly under certain conditions. Linear complexity of them can be proved always ...

The correlation immunity is known as an important cryptographic measure of a Boolean function with respect to its resist against the correlation attack. This paper generalizes the concept of correlation immunity to be of a fractional value, called fractional correlation immunity, which is a fraction between 0 and 1, and correlation immune function is the extreme case when the fractional correla...

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...

The behaviour of two well-known image registration techniques, namely the crosscorrelation and the phase-correlation algorithms, for input signals corrupted by additivewhite noise, is studied in the frequency domain. Useful expressions of the displacement measurement error variance are presented, which allow for the analysis of the accuracy of both methods.

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, ...

We describe an analysis of the galaxy–absorber cross-correlation function ξga(v, ρ) as a function of velocity separation v, impact parameter separation ρ, and absorber Lyα equivalent width W on impact parameter scales that extend up to ≈ 1 h Mpc.