نتایج جستجو برای: cross correlation function

تعداد نتایج: 1967952  

2012
Michael A. Lewis Peter Gerstoft

S U M M A R Y We use cross-correlation of seismic noise recorded at stations in the San Andreas Fault Observatory at Depth (SAFOD) pilot hole to extract P and S waves and measure S-wave anisotropy on the horizontal components. The data are recorded at seven three-component stations at depths from 1857 to 2097 m in the pilot hole. In late September and early 2004 October drilling noise underneat...

2008
A. Refregier

The foreground component of the X-ray Background (XRB) can be studied by cross-correlating its intensity with galaxy catalogs. We computed the two-point cross-correlation function W xg between 67 Einstein X-ray elds and the APM galaxy catalog. We detected a signal with an amplitude of W xg = :04 :01, signi cant at the 3:5 level. The reality of this signal was tested with a series of control dat...

2016
Ilias Fountalis Annalisa Bracco Bistra Dilkina Constantine Dovrolis Shella Keilholz

We propose δ-MAPS, a method that analyzes spatio-temporal data to first identify the distinct spatial components of the underlying system, referred to as “domains”, and second to infer the connections between them. A domain is a spatially contiguous region of highly correlated temporal activity. The core of a domain is a point or subregion at which a metric of local homogeneity is maximum acros...

2005
Z. Saidi A. O. Boudraa

In this paper, a new time-delay estimation technique based on the cross B-energy operator [5] is introduced. This quadratic energy detector measures how much a signal is present in another one. The location of the peak of the energy operator, corresponding to the maximum of interaction between the two signals, is the estimate of the delay. The method is a fully data-driven approach. The discret...

1997
Peter Schneider Peter Grassberger

We use the cross correlation sum introduced recently by H. Kantz to study symmetry properties of chaotic attractors. In particular, we apply it to a system of six coupled nonlinear oscillators which was shown by Kroon et al. to have attractors with several different symmetries, and compare our results with those obtained by “detectives” in the sense of Golubitsky et al..

2004
Elias Wegert

Nonlinear cross-correlation equations in finite and semi-infinite intervals are studied by means of Fourier transform and Cauchy integral techniques. The equations are reduced to a bilinear conjugacy problem for two analytic functions on the real axis which can be solved in explicit form. In particular, Engibaryan’s equations from nonlinear factorization theory of Wiener-Hopf integral equations...

2004
Christopher Gordon Wayne Hu

We explicate the origin of the temperature quadrupole in the adiabatic dark energy model and explore the mechanism by which scale invariant isocurvature dark energy perturbations can lead to its sharp suppression. The model requires anticorrelated curvature and isocurvature fluctuations and is favored by the WMAP data at about the 95% confidence level in a flat scale invariant model. In an infl...

2009
E. Sipahi

We present UBVRI photometric measurements and spectroscopic observations of the double-lined eclipsing binary V821Cas. The radial velocities were obtained by means of the cross-correlation technique. Simultaneous analyses of the multi-band light curves and RVs give the absolute parameters for the stars as: M1=2.05±0.07 M⊙, M2=1.63±0.06 M⊙, R1=2.31±0.03 R⊙, R2=1.39±0.02 R⊙, Teff1=9400±400 K, and...

2009
Seyed Taghi Akhavan Niaki Mohammad Saber Fallah Nezhad

Extended Abstract In many situations, the quality of a process can be characterized by a single continuous random variable, which is usually assumed to follow a normal distribution. However, it is increasingly common for processes to be characterized by several, usually correlated, variables. (Kim and Reynolds 2005) Multivariate control charts are widely used to monitor industrial processes (Ma...

2000
BERND ROSENOW VASILIKI PLEROU PARAMESWARAN GOPIKRISHNAN LUÍS A. NUNES AMARAL

We address the question of how to precisely identify correlated behavior between different firms in the economy by applying methods of random matrix theory (RMT). Specifically, we use methods of random matrix theory to analyze the cross-correlation matrix C of price changes of the largest 1000 US stocks for the 2-year period 1994–1995. We find that the statistics of most of the eigenvalues in t...

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