SU Aurigae is a classical T Tauri star of spectral type G2. This star was one of the scientific targets of the MUSICOS 96 multi-site campaign that provided a wealth of high resolution cross-dispersed spectral data, with a good continuous time coverage (Unruh et al. 1998a). We present the results of the analysis of the complex circumstellar environment of this star, with particular regard to mag...

We study the alignments between the angular momentum of individual objects and the large-scale structure in cosmological numerical simulations and real data from the Sloan Digital Sky Survey, Data Release 6. To this end we measure anisotropies in the two point cross-correlation function around simulated halos and observed galaxies, studying separately the 1and 2-halo regimes. The alignment of t...

We present a theoretical study of galaxy spin correlation statistics, with detailed technical derivations. We also find an expression for the spin-density cross-correlation, and apply that to the Tully galaxy catalog. The observational results appear qualitatively consistent with the theoretical predictions, yet the error bars are still large. However, we expect that currently ongoing large sur...

Auditory processing of complex sources, after an initial peripheral spectro-temporal stage, is thought to have a more central stage identify in the output time segments and frequency regions of higher activity by way of a temporal and spectral modulation analysis. Such analysis broadens the view on perception, both that of complex signals and of auditory scene analysis (ASA). When resolution of...

Background: Breast cancer is one of the most common diseases in women and causes more deaths rather than other cancers. The increasing trend of breast cancer in Iran makes clear the need of extensive breast cancer research in this area. Some studies showed that in the variety countries and even in the different areas in one country has different risk of breast cancer incidence and this is a rea...

A panel data regression model with heteroskedastic as well as spatially correlated disturbancesis considered, and a joint LM test for homoskedasticity and no spatial correlation is derived. In addition, a conditional LM test for no spatial correlation given heteroskedasticity, as well as a conditional LM test for homoskedasticity given spatial correlation, are also derived. These LM tests are c...

Experimental and numerical techniques allowed us to predict and verify the existence of a robust phase singularity in the spatial coherence function when a vortex is present. Though observed in the optical domain, this phenomenon may occur in any partially coherent vortex wave.

In this letter we present a transmit antenna correlation in spatial multiplexing systems with channel state information at the transmitter (CSIT) of a multiple-input multiple-output (MIMO) correlated channel. Indeed, high correlation degrades system capacity and performance. Most related work has thus far considered in the statistical channel model such as Kronecker model with an approximate To...

An efficient algorithm is proposed to reduce the computational complexity of block matching motion estimation by using the characteristics of spatial correlation. The proposed algorithm is to skip the motion vector search of inside macroblocks surrounded by identical motion vectors. Experimental results show that the proposed algorithm reduces computational complexity by 52.5% compared to conve...

Acoustic model training is very important in speech recognition. But in traditional training algorithm, we take each state separately, and the relationship between different states is not considered. In this paper we bring forward a novel idea of using the correlation information between states, which is called “spatial correlation”. We describe this correlation information as linear constraint...