Optimization algorithms for energy-efficient data centers
Hendrik F. Hamann
InterPACK 2013
A method is presented for designing lossless sliding-block compression schemes that map constrained sequences onto unconstrained ones. The new compression scheme is incorporated into a coding technique for noisy constrained channels, which has applications to magnetic and optical storage. As suggested recently by Immink, the use of a lossless compression code can improve the performance of a modified concatenation scheme where the positions of the error-correcting code and constrained code are reversed (primarily in order to eliminate error propagation due to the constrained code). Examples are presented that demonstrate the advantage of using sliding-block compression over block compression in a noisy constrained setting.
Hendrik F. Hamann
InterPACK 2013
Marshall W. Bern, Howard J. Karloff, et al.
Theoretical Computer Science
M.J. Slattery, Joan L. Mitchell
IBM J. Res. Dev
Chi-Leung Wong, Zehra Sura, et al.
I-SPAN 2002