… We evaluate DPN’s ability to decode the symbols blindly. Since the … symbol error rate (SER)
even at high SNRs. To evaluate the performance of DPN, we use a simple signal processing …

… algorithm for decoding binary linear codes for symbol-pair read channels. The symbol-pair …
The proposed decoding algorithm is based on linear programming (LP). For LDPC codes, …

… on the decoding map. This research shows how to optimize the choice of a generator matrix
and decoding map simultaneously to minimize the error rates for all message symbols. The …

… Abstract—This paper presents a novel approach to soft decision decoding for binary linear
… For each decoding stage, the error performance is tightly bounded and the decoding is …

… the ML decoding problem for an arbitrary binary linear code, and show that it is equivalent
to solving a linear program over the codeword polytope. We then define a modified linear …

… that linear cyclic codes can correct a large number of symbol-pair errors and in Section IV,
a decoding … DECODING From Theorem 1 we conclude that linear cyclic codes have large …

… In this paper, we first characterize all linear STBCs that admit single-symbol ML decoding,
(not necessarily full-rank) over quasi-static fading channels, the class of single-…

… Additionally, the symbol decoding procedure used in this work is relatively simple and not
… , “Combining deep learning and linear processing for modulation classification and symbol …

… We discuss the application of LP decoding to binary linear codes, and establish symmetry
conditions on the relaxation. We show that if a relaxation meets these conditions, then some …

… We begin by considering linear combinations of the {sj}. We define a composite parity check…
permits us to decode the set of first information symbols from the nA symbols in the received …