ON TRACKING A STOCHASTICALLY TIME-VARYING SUBSPACE
Victor Solo (University of New South Wales)
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SPS
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Subspace tracking has a long and still growing list of applications
with recent interest stimulated by the advent of
’streaming’ data. Despite the considerable literature, all
of it motivated by the desire to track time varying subspaces,
there seems to be almost no analysis of that time
varying problem. Rather existing analyses assume the
subspace is fixed. Here, for the first time we develop
a true subspace tracking analysis in continuous time. It
turns out to be a very hard problem and so we tackle the
problem of a rank 1 subspace.