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Spatial correlation

by Lung-chi Chen, Akira Sakai , 2008
"... II: ..."
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SPATIAL CORRELATION

by Ian F. Akyildiz
"... – Single node traffic model – Relay node traffic model – Impact of data rate dynamics � � Key results � � Conclusions ..."
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– Single node traffic model – Relay node traffic model – Impact of data rate dynamics � � Key results � � Conclusions

Denoising by Spatial Correlation Thresholding

by Lei Zhang, Paul Bao
"... Abstract—This paper presents a spatial-correlation thresholding scheme for noise reduction by wavelet transform. Observing that edge structures are of high magnitude across wavelet scales but noise decays rapidly, we multiply two adjacent wavelet scales to form a spatial-correlation function to enha ..."
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Abstract—This paper presents a spatial-correlation thresholding scheme for noise reduction by wavelet transform. Observing that edge structures are of high magnitude across wavelet scales but noise decays rapidly, we multiply two adjacent wavelet scales to form a spatial-correlation function

The impact of spatial correlation on routing with compression in wireless sensor networks

by Sundeep Pattem, Bhaskar Krishnamachari - In ACM/IEEE International Symposium on Information Processing in Sensor Networks (IPSN 2004
"... The efficacy of data aggregation in sensor networks is a function of the degree of spatial correlation in the sensed phenomenon. The recent literature has examined a variety of schemes that achieve greater data aggregation by routing data with regard to the underlying spatial correlation. A well kno ..."
Abstract - Cited by 203 (16 self) - Add to MetaCart
The efficacy of data aggregation in sensor networks is a function of the degree of spatial correlation in the sensed phenomenon. The recent literature has examined a variety of schemes that achieve greater data aggregation by routing data with regard to the underlying spatial correlation. A well

spatially correlated MIMO channels

by X. Kung, A. F. Molisch, Senior Member, X. Zhang, Student Member, S. Y. Kung, J. Zhang, Senior Member , 2003
"... We address the antenna subset selection problem in spatially correlated MIMO channels. To reduce the severe performance degradation of the traditional antenna selection scheme in correlated channels, we propose to embed DFT operations in the RF chains. The resulting system shows a significant advant ..."
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We address the antenna subset selection problem in spatially correlated MIMO channels. To reduce the severe performance degradation of the traditional antenna selection scheme in correlated channels, we propose to embed DFT operations in the RF chains. The resulting system shows a significant

On the capacity of spatially correlated MIMO Rayleigh-fading channels

by Marco Chiani, Senior Member, Moe Z. Win, Senior Member, Alberto Zanella - IEEE Trans. Inform. Theory , 2003
"... Abstract—In this paper, we investigate the capacity distribution of spatially correlated, multiple-input–multiple-output (MIMO) channels. In particular, we derive a concise closed-form expression for the characteristic function (c.f.) of MIMO system capacity with arbitrary correlation among the tran ..."
Abstract - Cited by 134 (15 self) - Add to MetaCart
Abstract—In this paper, we investigate the capacity distribution of spatially correlated, multiple-input–multiple-output (MIMO) channels. In particular, we derive a concise closed-form expression for the characteristic function (c.f.) of MIMO system capacity with arbitrary correlation among

System Capacity with Spatial Correlations

by T. Gunasekaran, K. R. Shankar Kumar
"... Abstract: Problem statement: Today’s wireless technologies just won’t get us to the hyper connectivity of uninterrupted access from any mobile device with unlimited bandwidth at real-time speeds. This is due to the low data throughput and scarcity in spectrum. Approach: Under the condition of uncorr ..."
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of uncorrelated antenna elements, capacity of the Multiple Input Multiple Output (MIMO) system can be increased linearly with the number of antennas. But in practice correlation among the antenna elements exists and it can reduce the channel capacity. The effect of correlation can be reduced by using spatial

Sampling Spatially Correlated Clutter

by Oscar H. Bustos, Ana Georgina, Flesia Alej , 806
"... Correlated G distributions can be used to describe the clutter seen in images obtained with coherent illumination, as is the case of B-scan ultrasound, laser, sonar and synthetic aperture radar (SAR) imagery. These distributions are derived using the square root of the generalized inverse Gaussian d ..."
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. This article deals with the modeling and the simulation of correlated G0 A-distributed random fields. It is accomplished by means of the Inverse Transform method, applied to Gaussian random fields with spatial correlation. The main feature of this approach is its generality, since it allows the introduction

SPATIAL CORRELATION FOR CORRELATED SCATTERERS

by Terence Betlehem, Thushara D. Abhayapala, Rx Apeture
"... This paper investigates the correlations between sensor signals in multipath environments created by correlated scatterers. We derive a closed form expression for the correlation in fields created by arbitrary scatterer correlations and scatterer powers, using Fourier techniques, and propose reasona ..."
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This paper investigates the correlations between sensor signals in multipath environments created by correlated scatterers. We derive a closed form expression for the correlation in fields created by arbitrary scatterer correlations and scatterer powers, using Fourier techniques, and propose

Statistical timing analysis considering spatial correlations using a single PERT-like traversal

by Hongliang Chang, Sachin S. Sapatnekar - In ICCAD
"... We present an efficient statistical timing analysis algorithm that predicts the probability distribution of the circuit delay while incorporating the effects of spatial correlations of intra-die parameter variations, using a method based on principal component analysis. The method uses a PERT-like c ..."
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We present an efficient statistical timing analysis algorithm that predicts the probability distribution of the circuit delay while incorporating the effects of spatial correlations of intra-die parameter variations, using a method based on principal component analysis. The method uses a PERT
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