Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Eigenspace-Based Minimum Variance Adaptive Beamformer Combined with
  Delay Multiply and Sum: Experimental Study   Delay and sum (DAS) is the most common beamforming algorithm in linear-array
photoacoustic imaging (PAI) as a result of its simple implementation. However,
it leads to a low resolution and high sidelobes. Delay multiply and sum (DMAS)
was used to address the incapabilities of DAS, providing a higher image
quality. However, the resolution improvement is not well enough compared to
eigenspace-based minimum variance (EIBMV). In this paper, the EIBMV beamformer
has been combined with DMAS algebra, called EIBMV-DMAS, using the expansion of
DMAS algorithm. The proposed method is used as the reconstruction algorithm in
linear-array PAI. EIBMV-DMAS is experimentally evaluated where the quantitative
and qualitative results show that it outperforms DAS, DMAS and EIBMV. The
proposed method degrades the sidelobes for about 365 %, 221 % and 40 %,
compared to DAS, DMAS and EIBMV, respectively. Moreover, EIBMV-DMAS improves
the SNR about 158 %, 63 % and 20 %, respectively.

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The categories of this paper are: cmp-lg
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
7
The categories of this paper are: hep-th
17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
30
The categories of this paper are: q-alg
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
13
The categories of this paper are: quant-ph