Investigations into the Effect of
Spatial Correlation on Channel Estimation and Capacity of Multiple Input Multiple Output System
Not exact matches
«
On the basis of time and
spatial correlations, we conclude the DFW sequence may be the result of fluid injection at the SWD [saltwater - disposal] well,» they wrote in a paper published in March 2010 in The Leading Edge.
PPPL scientists have now delved beyond previously published characterizations of turbulence and analyzed the data to focus
on the 2 - D
spatial correlations within the turbulence.
To further test the generalizability of this model, Parise and Ernst ran additional computer simulations, where they used the Multisensory
Correlation Detector model to replicate several previous findings
on the temporal and the
spatial aspects of multisensory perception.
In particular, Brillouin optical
correlation - domain reflectometry (BOCDR), which operates based
on the
correlation control of continuous lightwaves, is known to be an intrinsically one - end - access distributed sensing technique with high
spatial resolution (< 1 cm).
The study reports that glaciers flowing to the coast
on the western side of the Peninsula show a distinct
spatial correlation with ocean temperature patterns, with those in the south retreating rapidly but those in the north showing little change.
Using
spatial correlation functions to quantify the differences between emergent cell lineage segregation patterns, we find that strong adhesion often, but not always, maximizes the size of clonal cell clusters
on flat surfaces.
The chemical composition of these decay products in relation to the substrate material, the various conservation and restoration historic phases is discussed along with their
spatial distribution
on the monument's surfaces and also in
correlation with environmental and climatic data.
Longitudinal mixed models were also used to estimate the effect of vaccine dose
on mean log - transformed antibody levels over time, using a
spatial exponential covariance structure to model the
correlation between measurements from the same individual while taking into account the number of study days between measurements.
Fritz and her team are the first to confirm this
correlation on such a large
spatial and temporal scale — for North America as well as for Europe.
To test that I varied the data sources, the time periods used, the importance of
spatial auto -
correlation on the effective numbers of degree of freedom, and most importantly, I looked at how these methodologies stacked up in numerical laboratories (GCM model runs) where I knew the answer already.
My take
on his preprint is that his conclusion that «zero
spatial correlation can not be rejected» is astonishing.
The climate community does not seem to exercise such care, and when their poor use of methods is pointed out they just ignore it and carry
on (I could give scores of examples, from improper use of principal components, data mining, data snooping,
spatial correlation, upside down data, single cause fallacy... and now uniform priors).
In the past couple of years at BEST, has there been any opportunity yet to look into clustering effects
on your
spatial model, i.e.,
correlation function.
Question from a novice: how is this spacial noise — or poor
spatial correlation — taken into account when estimating the uncertainty
on the average temperature?