Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Acceleration of rank-constrained spatial covariance matrix estimation
  for blind speech extraction   In this paper, we propose new accelerated update rules for rank-constrained
spatial covariance model estimation, which efficiently extracts a directional
target source in diffuse background noise.The naive updat e rule requires heavy
computation such as matrix inversion or matrix multiplication. We resolve this
problem by expanding matrix inversion to reduce computational complexity; in
the parameter update step, we need neither matrix inversion nor multiplication.
In an experiment, we show that the proposed accelerated update rule achieves 87
times faster calculation than the naive one.

14
The categories of this paper are: math-ph
17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
32
The categories of this paper are: atom-ph
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
2
The categories of this paper are: math
16
The categories of this paper are: stat
27
The categories of this paper are: comp-gas
33
The categories of this paper are: plasm-ph
3
The categories of this paper are: physics
25
The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
15
The categories of this paper are: nucl-ex