Topic
Sequential decoding
About: Sequential decoding is a research topic. Over the lifetime, 8667 publications have been published within this topic receiving 204271 citations.
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Papers
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24 Jul 2002
TL;DR: In this article, a system for decoding product codes is described, which includes logic configured to pass reliability determinations made while decoding symbols using first parity information, to use in decoding the symbols using second parity information.
Abstract: A system is described for decoding product codes. The system includes logic configured to pass reliability determinations made while decoding symbols using first parity information, to use in decoding the symbols using second parity information, while substantially simultaneously passing the reliability determinations made while decoding the symbols using the second parity information, to use in decoding the symbols using the first parity information.
49 citations
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11 Dec 2009
TL;DR: Compared to existing techniques, this new technique to reconstruct punctured convolutional codes from a noisy intercepted bit-stream has two major advantages: it can tolerate much higher noise levels in the bitstream and it is able to recover the best possible decoder.
Abstract: We present here a new technique to reconstruct punctured convolutional codes from a noisy intercepted bit-stream. Compared to existing techniques our algorithm has two major advantages: it can tolerate much higher noise levels in the bitstream and it is able to recover the best possible decoder (in terms of decoding complexity). This is achieved by identifying the exact puncturing pattern that was used and recovering the parent convolutional code.
49 citations
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TL;DR: It turns out that-depending on the code rate and given delay-convolutional codes are able to outperform fundamental lower bounds for block codes, yielding a definite result on the question, which codes are superior in this regime.
Abstract: The performance of short block length low-density parity-check (LDPC) codes (both binary and nonbinary) and convolutional codes is compared under the constraint of tight structural delay constraints. Additionally, we use fundamental bounds on block codes and low rate turbo codes to evaluate our results in a broader context. It turns out that—depending on the code rate and given delay—convolutional codes are able to outperform fundamental lower bounds for block codes, yielding a definite result on the question, which codes are superior in this regime. From a break-even point onward, convolutional codes cannot compete with block codes anymore and nonbinary LDPC codes show the best performance. Turbo codes with a short interleaver length show competitive results.
49 citations
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TL;DR: This paper describes a technique for high-speed decoding of burst-error-correcting codes and a class of codes most suitable for this purpose and with a small amount of additional circuitry the decoders proposed are capable of decoding speeds several orders of magnitude higher than those of conventional decoder.
Abstract: This paper describes a technique for high-speed decoding of burst-error-correcting codes and a class of codes most suitable for this purpose. With a small amount of additional circuitry the decoders proposed in this paper are capable of decoding speeds several orders of magnitude higher than those of conventional decoders.
49 citations
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TL;DR: A sequential, finite-delay, joint source-channel decoder that uses a novel state-space to deal with the problem of variable-length source codes in the decoder and is robust to inaccuracies in the estimation of channel statistics.
Abstract: This paper proposes an optimal maximum a posteriori probability decoder for variable-length encoded sources over binary symmetric channels (BSC) that uses a novel state-space to deal with the problem of variable-length source codes in the decoder. This sequential, finite-delay, joint source-channel decoder delivers substantial improvements over the conventional decoder and also over a system that uses a standard forward error correcting code operating at the same over all bit rates. This decoder is also robust to inaccuracies in the estimation of channel statistics.
49 citations