Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PRIME: Phase Retrieval via Majorization-Minimization   This paper considers the phase retrieval problem in which measurements
consist of only the magnitude of several linear measurements of the unknown,
e.g., spectral components of a time sequence. We develop low-complexity
algorithms with superior performance based on the majorization-minimization
(MM) framework. The proposed algorithms are referred to as PRIME: Phase
Retrieval vIa the Majorization-minimization techniquE. They are preferred to
existing benchmark methods since at each iteration a simple surrogate problem
is solved with a closed-form solution that monotonically decreases the original
objective function. In total, four algorithms are proposed using different
majorization-minimization techniques. Experimental results validate that our
algorithms outperform existing methods in terms of successful recovery and mean
square error under various settings.

22
The categories of this paper are: chao-dyn
21
The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
19
The categories of this paper are: eess
17
The categories of this paper are: q-fin
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
6
The categories of this paper are: astro-ph
30
The categories of this paper are: q-alg
29
The categories of this paper are: funct-an
27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an