2 citations · 2 across the 5 of their papers we have counts for
7 papers · 1 filter
Spectral Graph Analysis of Quasi-Cyclic Codes
Roxana Smarandache, Mark F. Flanagan
In this paper we analyze the bound on the additive white Gaussian noise channel (AWGNC) pseudo-weight of a (c,d)-regular linear block code based on the two largest eigenvalues of H…
Decoding of MDP Convolutional Codes over the Erasure Channel
Virtudes Tomás, Joachim Rosenthal, Roxana Smarandache
This paper studies the decoding capabilities of maximum distance profile (MDP) convolutional codes over the erasure channel and compares them with the decoding capabilities of MDS…
Pseudo-Codeword Performance Analysis for LDPC Convolutional Codes
Roxana Smarandache, Ali E. Pusane, Pascal O. Vontobel +1
Message-passing iterative decoders for low-density parity-check (LDPC) block codes are known to be subject to decoding failures due to so-called pseudo-codewords. These failures ca…
Superregular Matrices and the Construction of Convolutional Codes having a Maximum Distance Profile
R. Hutchinson, R. Smarandache, J. Trumpf
Superregular matrices are a class of lower triangular Toeplitz matrices that arise in the context of constructing convolutional codes having a maximum distance profile. These matri…
Pseudo-Codeword Analysis of Tanner Graphs from Projective and Euclidean Planes
Roxana Smarandache, Pascal O. Vontobel
In order to understand the performance of a code under maximum-likelihood (ML) decoding, one studies the codewords, in particular the minimal codewords, and their Hamming weights.…
Bounds on the Pseudo-Weight of Minimal Pseudo-Codewords of Projective Geometry Codes
Roxana Smarandache, Marcel Wauer
In this paper we focus our attention on a family of finite geometry codes, called type-I projective geometry low-density parity-check (PG-LDPC) codes, that are constructed based on…