author = {D. W\"{u}bben and D. Seethaler and J. Jaldén and G. Matz},
  year = {2011},
  month = {May},
  title = {Lattice Reduction: A Survey with Applications in Wireless Communications},
  volume = {28},
  number = {3},
  pages = {70-91},
  URL = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5753113},
  abstract={Lattice reduction is a powerful concept for solving diverse problems 
involving point lattices. Signal processing applications where lattice 
reduction has been successfully used include global positioning system 
(GPS), frequency estimation, color space estimation in JPEG pictures, 
and particularly data detection and precoding in wireless communication 
systems. In this article, we first provide some background on point 
lattices and then give a tutorial-style introduction to the theoretical 
and practical aspects of lattice reduction. We describe the most 
important lattice reduction algorithms and comment on their performance 
and computational complexity.
  journal={IEEE Signal Processing Magazine}