As a widely used measurement technique in rock mechanics,spatial correlation modeling of acoustic emission(AE)scattering signals is attracting increasing focus for describing mechanical behavior *** the statistical de...
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As a widely used measurement technique in rock mechanics,spatial correlation modeling of acoustic emission(AE)scattering signals is attracting increasing focus for describing mechanical behavior *** the statistical description of the spatial distribution of randomly generated AE signals,spatial correlation modeling is based mainly on short-range correlation considering the interrelationship of adjacent *** a new idea from percolation models,the covering strategy is used to build the most representative cube cluster,which corresponds to the critical scale at peak *** modeling process of critical cube cluster depends strongly on the full connection of the main fracture network,and the corresponding cube for coverage is termed the critical *** criticality pertains to not only the transition of local-to-whole connection of the fracture network but also the increasing-to-decreasing transition of the deviatoric stress with an obvious stress drop in the brittle failure of *** a reasonable critical cube guarantees the best observation scale for investigating the failure ***,the topological connection induces the geometric criticality of three descriptors,namely anisotropy,pore fraction,and specific surface area,which are evaluated separately and *** results show that cluster modeling based on the critical cube is effective and has criticality in both topology and geometry,as well as the triaxial ***,the critical cube length presents a high confidence probability of being correlated to the mineral particle ***,its pore fraction of cube cluster is influenced strongly by the critical cube length and confining pressure.
This paper presents statistical methods to identify and take advantage of correlations in the test methods and wafer-level spatialcorrelations among devices. The result, shown for industrial designs, is a far more op...
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This paper presents statistical methods to identify and take advantage of correlations in the test methods and wafer-level spatialcorrelations among devices. The result, shown for industrial designs, is a far more optimized test suite.
The effect of spatialcorrelation on the capacity of multiple-input multiple-output (MIMO) fading channel with uniform linear arrays (ULAs) at the transmitter and receiver is investigated. The situations when the chan...
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ISBN:
(纸本)1424400007
The effect of spatialcorrelation on the capacity of multiple-input multiple-output (MIMO) fading channel with uniform linear arrays (ULAs) at the transmitter and receiver is investigated. The situations when the channel is known and unknown at the transmitter are considered. The effects of antenna spacing, angle spread, and number of antennas on the capacity are also investigated. Extensive Monte Carlo computer simulations are carried out. The results showed that the spatialcorrelation may severely degrade the capacity of MIMO systems. The degradation in the capacity can be reduced by increasing the separation distance between the antenna elements. However, increasing the antenna spacing beyond approximate to 2 lambda has no effect on the capacity. Small angle spread leads to higher correlation between the antenna elements and consequently lower capacity.
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