Reena Elangovan, Shubham Jain, et al.
ACM TODAES
A new class of constrained systems: average runlength constraints (ARC) are defined. These systems are defined by requiring that the sum of n consecutive runlengths be bounded above by a linear function of n. in particular, the running average runlength of every sequence in the system is bounded above by a constant. a general result is given on the capacity of ARC systems. The state splitting algorithm is then improved for variable-length graphs. This is then applied to obtain high, fixed-rate codes from the free binary source to ARC systems. As an example, a rate 1/2, (d, k) = (2,7) code is constructed that has a smaller average runlength than the industry standard (2,7) code. © 1991 IEEE.
Reena Elangovan, Shubham Jain, et al.
ACM TODAES
G. Ramalingam
Theoretical Computer Science
Ohad Shamir, Sivan Sabato, et al.
Theoretical Computer Science
B.K. Boguraev, Mary S. Neff
HICSS 2000