IEEE Transactions on Communications

An upper bound on the effective error coefficient of two-stage decoding, and good two-level decompositions of some Reed-Muller codes

Jiantin Wu, Shu Hwa Lin, Tadao Kasami, Toru Fujiwara, T. Takata

Published Feb 1, 1994• 13 citations

Abstract

An upper bound on the effective error coefficient of a two-level code with two-stage decoding is presented. This bound provides a guideline for constructing two-level codes to achieve a good trade-off between the error performance and decoding complexity. Based on this bound, good two-level decompositions of some Reed-Muller codes for two-stage decoding are found. Simulation results on the error performances of some Reed-Muller codes of lengths up to 64 with two-stage soft-decision suboptimum decoding based on their two-level decompositions are given.>

DOI: 10.1109/tcomm.1994.580180

Related papers

Suboptimum decoding of block codes

Shu Lin, Tadao Kasami

This paper investigates a class of decomposable codes, their distance and structural properties. it is shown that this class includes several classes of well known and efficient codes as subclasses. Several methods for constructing decomposable codes or decomposing codes are presented. A two-stage soft decision decoding scheme for decomposable codes, their translates or unions of translates is devised. This two-stage soft-decision decoding is suboptimum, and provides an excellent trade-off between the error performance and decoding complexity for codes of moderate and long block length.

Oct 15, 19910 citations

Bounds on Block Error Probability for Multilevel Concatenated Codes

Shu Lin, H.T. Moorthy, Diana Stojanovic

Maximum likelihood decoding of long block codes is not feasable due to large complexity. Some classes of codes are shown to be decomposable into multilevel concatenated codes (MLCC). For these codes, multistage decoding provides good trade-off between performance and complexity. In this paper, we derive an upper bound on the probability of block error for MLCC. We use this bound to evaluate difference in performance for different decompositions of some codes. Examples given show that a significant reduction in complexity can be achieved when increasing number of stages of decoding. Resulting performance degradation varies for different decompositions. A guideline is given for finding good m-level decompositions.

Jul 10, 19960 citations

Suboptimum decoding of decomposable block codes

T. Takata, Y. Yamashita, Toru Fujiwara +2 more

To decode a long block code with a large minimum distance by maximum likelihood decoding is practically impossible because the decoding complexity is simply enormous. However, if a code can be decomposed into constituent codes with smaller dimensions and simpler structure, it is possible to devise a practical and yet efficient scheme to decode the code. This paper investigates a class of decomposable codes, their distance and structural properties. It is shown that this class includes several classes of well-known and efficient codes as subclasses. Several methods for constructing decomposable codes or decomposing codes are presented. A two-stage (soft-decision or hard-decision) decoding scheme for decomposable codes, their translates or unions of translates is devised, and its error performance is analyzed for an AWGN channel. The two-stage soft-decision decoding is suboptimum. Error performances of some specific decomposable codes based on the proposed two-stage soft-decision decoding are evaluated. It is shown that the proposed two-stage suboptimum decoding scheme provides an excellent trade-off between the error performance and decoding complexity for codes of moderate and long block length.>

IEEE Transactions on Information TheoryJan 1, 199422 citations

A bounded-distance decoding algorithm for lattices obtained from a generalized code formula

M.A.O. da Costa e Silva, Reginaldo Palazzo

A multistage decoding algorithm is given for lattices obtained from a multilevel code formula. The algorithm is shown to have the same effective error-correcting radius as maximum-likelihood decoding, so that the performance loss is essentially determined by the increase in the effective error coefficient, for which an expression is given. The code formula generalizes some previous multilevel constructions to constructions of known single-level binary lattices with many levels, and then to decoders for them with the proposed algorithm. The trade-off between complexity reduction and performance loss is evaluated for several known lattices and two new ones, indicating that the approach is effective provided the binary codes involved in the code formula are not too short. All codes used in our constructions are binary Reed-Muller codes.>

IEEE Transactions on Information TheoryJan 1, 19945 citations

Error exponents for two soft decision decoding algorithms of Reed-Muller codes

M. V. Burnashev, Ilya I. Dumer

Error exponents are studied for the recursive and majority decoding algorithms of general Reed-Muller codes RM(r, m) used on the AWGN channels. Both algorithms have low decoding complexity and substantially outperform bounded distance decoding in their error-correcting capabilities. We obtain asymptotically tight upper bounds on the output error rate that hold for both algorithms and can be used for any RM-code.

IEEE International Symposium on Information Theory (ISIT)Jul 1, 20082 citations

Soft-decision decoding of Reed-Muller codes as generalized multiple concatenated codes

G. Schnabl, Martin Bossert

Constructs Reed-Muller codes by generalized multiple concatenation of binary block codes of length 2. As a consequence of this construction, a new decoding procedure is derived that uses soft-decision information. The algorithm is designed for low decoding complexity and is applicable to all Reed-Muller codes. It gives better decoding performance than soft-decision bounded-distance decoding. Its decoding complexity is much lower than that of maximum-likelihood trellis decoding of Reed-Muller codes, especially for long codes.>

IEEE Transactions on Information TheoryJan 1, 199590 citations