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Redesigned Spatial Modulation for Spatially Correlated Fading Channels
Wireless Personal Communications, 2017In this paper, a new variant of Spatial Modulation (SM) Multiple-Input Multiple-Output (MIMO) transmission technique, designated as Redesigned Spatial Modulation (ReSM) has been proposed. In ReSM scheme, a dynamic mapping for antenna selection is adopted.
Goutham Simha G. D. +4 more
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Temporal correlation of interference under spatially correlated shadowing
2018 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2018In this paper, we study the temporal correlation of interference in mobile ad-hoc networks under a correlated shadowing environment. By modeling the node locations as a 1-D Poisson point process with an i.i.d. mobility model and considering spatially correlated shadowing that depends on the distance between nodes, we derive a simple asymptotic ...
Tatsuaki Kimura, Hiroshi Saito
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Spatial displacement correlations in polymeric systems
The Journal of Chemical Physics, 2012The spatial correlations of the monomer displacements are studied via molecular-dynamics simulations of a melt of fully flexible, unentangled polymer chains with different length, interacting potential, density, and temperature. Both the scalar and the vector characters of the correlations are considered and their extension quantified in terms of ...
Puosi F, LEPORINI, DINO
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Spatial correlation of the infant and adult electroencephalogram
Clinical Neurophysiology, 2003To examine the effects of volume conduction of current on measurements of spatial correlation in the high-density electroencephalogram (EEG) at extremes of human development: infancy and adulthood.To calculate theoretical spatial correlation of EEG from volume conduction of uncorrelated cortical sources and compare theory with observations of intra ...
Philip G, Grieve +4 more
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Intrinsic Classification of Spatially Correlated Data
The Computer Journal, 1998Summary: Intrinsic classification, or unsupervised learning of a classification, was the earliest application of what is now termed an Minimum Message Length (MML) or Minimum Description Length (MDL) inference. The MML algorithm `Snob' and its relatives have been used successfully in many domains. These algorithms treat the `things' to be classified as
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Spatial correlates of hippocampal unit activity
Experimental Neurology, 1978Abstract Electrical activity of units in the hippocampus was recorded from freely behaving rats as they explored a spatial maze. The maze had eight arms, each of which radiated from the center platform-like spokes of a wheel. Of 31 hippocampal “complex spike” units, 27 had strong “spatial correlates” as defined by the following conjoint criteria: (i)
D S, Olton, M, Branch, P J, Best
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Spatial Correlation Analysis of Uniformity Data
Biometrics, 1983SUMMARY A spatial correlation analysis of uniformity data is presented as an alternative to the conventional method of analysis based on the model proposed by Smith (1938, Journal of Agricultural Science 28, 1-23). The spatial correlation model permits arbitrary patterns of behavior of the correlations, in contrast to the strict monotonic decrease ...
Modjeska, Janet Shy, Rawlings, J. O.
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Spatial correlations around a Kondo impurity
Physical Review Letters, 1987We present a method for calculating zero-frequency, spatially varying response and correlation functions around a magnetic impurity in metals. We illustrate the procedure which involves a combination of perturbative scaling and nonperturbative renormalization-group methods for the spin-(1/2) Kondo impurity.
Chen, Kan +2 more
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Spatially correlated nonnegative matrix factorization
Neurocomputing, 2014Low rank approximation of matrices has been frequently applied in information processing tasks, and in recent years, Nonnegative Matrix Factorization (NMF) has received considerable attentions for its straightforward interpretability and superior performance.
Xinlei Chen +3 more
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Aggregation and Spatial Correlation
1998In the first three chapters, we considered some distributions commonly encountered in ecological studies, models that give rise to those distributions, and methods of determining the fit of a proposed distribution to the data. One of the models giving rise to the Poisson distribution assumes that each member of the species behaves independently of ...
Linda J. Young, Jerry H. Young
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