Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Two are Better Than One: Adaptive Sparse System Identification using
  Affine Combination of Two Sparse Adaptive Filters   Sparse system identification problems often exist in many applications, such
as echo interference cancellation, sparse channel estimation, and adaptive
beamforming. One of popular adaptive sparse system identification (ASSI)
methods is adopting only one sparse least mean square (LMS) filter. However,
the adoption of only one sparse LMS filter cannot simultaneously achieve fast
convergence speed and small steady-state mean state deviation (MSD). Unlike the
conventional method, we propose an improved ASSI method using affine
combination of two sparse LMS filters to simultaneously achieving fast
convergence and low steady-state MSD. First, problem formulation and standard
affine combination of LMS filters are introduced. Then an approximate optimum
affine combiner is adopted for the proposed filter according to stochastic
gradient search method. Later, to verify the proposed filter for ASSI, computer
simulations are provided to confirm effectiveness of the proposed filter which
can achieve better estimation performance than the conventional one and
standard affine combination of LMS filters.

17
The categories of this paper are: q-fin
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
36
The categories of this paper are: cmp-lg
32
The categories of this paper are: atom-ph
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
7
The categories of this paper are: hep-th
22
The categories of this paper are: chao-dyn