Title :
Bounds on the number of states in encoder graphs for input-constrained channels
Author :
Marcus, Brian H. ; Roth, Ron M.
Author_Institution :
IBM Almaden Res. Center, San Jose, CA, USA
fDate :
5/1/1991 12:00:00 AM
Abstract :
The authors obtain general lower bounds on the number of states in any encoder for a given constrained system and rate. Lower bounds on the number of states are exhibited in a fixed-rate finite-state encoder that maps unconstrained n-ary sequences into a given set of constrained sequences, defined by a finite labeled graph G. In particular, one simple lower bound is given by minxmaxvxv where x=(xv) ranges over certain (nonnegative integer) approximate eigenvectors of the adjacency matrix for G. In some sense, the bounds are close to what can be realized by the state splitting algorithm and in some cases, they are shown to be tight. In particular, these bounds are used to show that the smallest (in number of states) known encoders for the
Keywords :
channel capacity; encoding; graph theory; adjacency matrix; capacity; constrained sequences; eigenvectors; encoder graphs; finite labeled graph; fixed-rate finite-state encoder; input-constrained channels; lower bounds; number of states; runlength-limited systems; unconstrained n-ary sequences; Algorithm design and analysis; Computer science; Constraint theory; Decoding; Hardware; Labeling;
Journal_Title :
Information Theory, IEEE Transactions on