most citedEfficient Convergent Maximum Likelihood Decoding on Tail-Biting Trellises

19 citations · 29 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2006★ 1 cited

A Combinatorial Family of Near Regular LDPC Codes

K. Murali Krishnan, Rajdeep Singh, L. Sunil Chandran +1

An elementary combinatorial Tanner graph construction for a family of near-regular low density parity check codes achieving high girth is presented. The construction allows flexibi…

cs.IT2006★ 19 cited

Efficient Convergent Maximum Likelihood Decoding on Tail-Biting Trellises

Priti Shankar, P. N. A. Kumar, K. Sasidharan +2

An algorithm for exact maximum likelihood(ML) decoding on tail-biting trellises is presented, which exhibits very good average case behavior. An approximate variant is proposed, wh…

cs.IT2006

Approximate Linear Time ML Decoding on Tail-Biting Trellises in Two Rounds

K. Murali Krishnan, Priti Shankar

A linear time approximate maximum likelihood decoding algorithm on tail-biting trellises is prsented, that requires exactly two rounds on the trellis. This is an adaptation of an a…

cs.IT2005★ 9 cited

On the Complexity of finding Stopping Distance in Tanner Graphs

K. Murali Krishnan, Priti Shankar

Two decision problems related to the computation of stopping sets in Tanner graphs are shown to be NP-complete. NP-hardness of the problem of computing the stopping distance of a T…

cs.IT2005

Approximate MAP Decoding on Tail-Biting Trellises

A. S. Madhu, Priti Shankar

We propose two approximate algorithms for MAP decoding on tail-biting trellises. The algorithms work on a subset of nodes of the tail-biting trellis, judiciously selected. We repor…