The article first presents the formulation for computing the optimum soft decision metrics for
decoding of convolutional codes on fading channels and then demonstrate the performance …

US6009552A - Soft-decision syndrome-based decoder for convolutional codes - Google Patents
US6009552A - Soft-decision syndrome-based decoder for convolutional codes - Google …

The channel code bit log likelihood ratio (LLR) for soft decision decoding is derived for
quadrature amplitude modulated signals (QAM). The effect of imperfect channel knowledge …

The authors present a novel near maximum likelihood (ML) soft decision decoding (SDD)
algorithm for linear block codes. The proposed algorithm can be subdivided into three …

The paper investigates principles of work and BER characteristics of a new soft decision
algorithm for decoding convolutional codes that is based on neural network applications …

Bit error rate (BER) performance of convolutional coding/soft decision Viterbi decoding is
investigated theoretically. Firstly, equations are derived to calculate the tight upper bound of …

Efficient new algorithms are presented for maximum-likelihood and suboptimal soft-decision
decoding algorithms for linear block codes. The first algorithm, MA*, improves the efficiency …

In order to fully utilize the SDD (soft-decision decoding) capacity of the outer codes in a
concatenated system, reliability information on the inner decoder outputs (called soft …

We present an efficient recursive algorithm for accomplishing maximum likelihood (ML) soft
syndrome decoding of binary convolutional codes. The algorithm consists of signal-by …

We consider transmissions over the frequency-nonselective time-selective fading channel
and derive the soft-decision-aided maximum a posteriori probability (SDA-MAP) channel …