title: Application of linear minimum mean-squared-error equalization for volume holographic data storage.
abstract: When target densities of volume holographic data storage systems are increased, the systems experience increased interference from adjacent pixels and noise. Here we present a method for designing and applying linear minimum mean-squared-error (LMMSE) equalization to improve the bit error rates (BER's) and hence the storage densities achievable. Numerical results with five defocused data pages indicate that a significant improvement in the BER is possible with LMMSE equalization.
authors.affiliation: Department of Electrical and Computer Engineering, Carnegie Mellon University, Data Storage Systems Center, Pittsburgh, Pennsylvania 15213, USA.
authors.forename: M
authors.initials: M
authors.lastname: Keskinoz
authors.forename: B V
authors.initials: BV
authors.lastname: Kumar