Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Variable-mixing parameter quantized kernel robust mixed-norm algorithms
  for combating impulsive interference   Although the kernel robust mixed-norm (KRMN) algorithm outperforms the kernel
least mean square (KLMS) algorithm in impulsive noise, it still has two major
problems as follows: (1) The choice of the mixing parameter in the KRMN is
crucial to obtain satisfactory performance. (2) The structure of the KRMN
algorithm grows linearly as the iteration goes on, thus it has high
computational complexity and memory requirements. To solve the parameter
selection problem, two variable-mixing parameter KRMN (VPKRMN) algorithms are
developed in this paper. Moreover, a sparsification algorithm, quantized VPKRMN
(QVPKRMN) algorithm is introduced for nonlinear system identification with
impulsive interferences. The energy conservation relation (ECR) and convergence
property of the QVPKRMN algorithm are analyzed. Simulation results in the
context of nonlinear system identification under impulsive interference
demonstrate the superior performance of the proposed VPKRMN and QVPKRMN
algorithms as compared with the existing algorithms.

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The categories of this paper are: physics
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The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph
12
The categories of this paper are: nucl-th
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The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
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The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
18
The categories of this paper are: econ
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The categories of this paper are: hep-ex
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The categories of this paper are: gr-qc
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The categories of this paper are: eess
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The categories of this paper are: patt-sol
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The categories of this paper are: plasm-ph
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The categories of this paper are: q-alg
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The categories of this paper are: chao-dyn