Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Compressed Sensing Bayes Risk Minimization for Under-determined Systems
  via Sphere Detection   The application of Compresses Sensing is a promising physical layer
technology for the joint activity and data detection of signals. Detecting the
activity pattern correctly has severe impact on the system performance and is
therefore of major concern. In contrast to previous work, in this paper we
optimize joint activity and data detection in under-determined systems by
minimizing the Bayes-Risk for erroneous activity detection. We formulate a new
Compressed Sensing Bayes-Risk detector which directly allows to influence error
rates at the activity detection dynamically by a parameter that can be
controlled at higher layers. We derive the detector for a general linear system
and show that our detector outperforms classical Compressed Sensing approaches
by investigating an overloaded CDMA system.

20
The categories of this paper are: acc-phys
6
The categories of this paper are: astro-ph
18
The categories of this paper are: econ
7
The categories of this paper are: hep-th
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
21
The categories of this paper are: adap-org
34
The categories of this paper are: chem-ph
29
The categories of this paper are: funct-an
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn