Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Blind Identification of SIMO Wiener Systems based on Kernel Canonical
  Correlation Analysis   We consider the problem of blind identification and equalization of
single-input multiple-output (SIMO) nonlinear channels. Specifically, the
nonlinear model consists of multiple single-channel Wiener systems that are
excited by a common input signal. The proposed approach is based on a
well-known blind identification technique for linear SIMO systems. By
transforming the output signals into a reproducing kernel Hilbert space (RKHS),
a linear identification problem is obtained, which we propose to solve through
an iterative procedure that alternates between canonical correlation analysis
(CCA) to estimate the linear parts, and kernel canonical correlation (KCCA) to
estimate the memoryless nonlinearities. The proposed algorithm is able to
operate on systems with as few as two output channels, on relatively small data
sets and on colored signals. Simulations are included to demonstrate the
effectiveness of the proposed technique.

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The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
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The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con
12
The categories of this paper are: nucl-th
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The categories of this paper are: q-fin
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The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
33
The categories of this paper are: plasm-ph
3
The categories of this paper are: physics
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The categories of this paper are: adap-org
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The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat