Journal Article10.1109/18.749000
Hadamard-based soft decoding for vector quantization over noisy channels
Mikael Skoglund,Per Hedelin +1 more
59
TL;DR: Through numerical simulations, soft decoding is demonstrated to outperform hard decoding in several aspects and an efficient algorithm for optimal decoding is derived.
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Abstract: We present an estimator-based, or soft, vector quantizer decoder for communication over a noisy channel. The decoder is optimal according to the mean-square error criterion, and Hadamard-based in the sense that a Hadamard transform representation of the vector quantizer is utilized in the implementation of the decoder. An efficient algorithm for optimal decoding is derived. We furthermore investigate suboptimal versions of the decoder, providing good performance at lower complexity. The issue of joint encoder-decoder design is considered both for optimal and suboptimal decoding. Results regarding the channel distortion and the structure of a channel robust code are also provided. Through numerical simulations, soft decoding is demonstrated to outperform hard decoding in several aspects.
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Citations
Hybrid Digital–Analog Source–Channel Coding for Bandwidth Compression/Expansion
TL;DR: Simulations illustrate that, under both bandwidth compression and expansion modes of operation, the HDA system provides a robust and graceful performance with good reproduction fidelity for a wide range of channel conditions.
Soft decoding for vector quantization over noisy channels with memory
TL;DR: A recursive implementation of optimal soft decoding for vector quantization over noisy channels with finite memory and an approach to suboptimal decoding, of lower complexity, being based on a generalization of the Viterbi algorithm are considered.
64
Soft-decision demodulation design for COVQ over white, colored, and ISI Gaussian channels
N. Phamdo,Fady Alajaji +1 more
TL;DR: It is shown that substantial improvements can be achieved over COVQ systems which utilize hard decision demodulation and/or channel interleaving, and an unquantized (q=/spl infin/) soft-decision decoder proposed by Skoglund and Hedelin (1999).
Joint source-channel (de-)coding for mobile communications
TL;DR: It is shown how joint source-channel decoding can be performed in a way that is applicable to any mobile communication system standard and an encoding concept employing low-dimensional quantization is proposed, which decreases the complexity of the source encoder and the decoder significantly.
44
On channel-constrained vector quantization and index assignment for discrete memoryless channels
TL;DR: This correspondence introduces an approach to the design of channel robust vector quantizers based on a new expression for the channel distortion as a function of the code vectors of the quantizer.
40
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