Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications
DOI: 10.1109/pimrc.1995.476882
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Real-time algorithms and VLSI architectures for soft output MAP convolutional decoding

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Cited by 36 publications
(28 citation statements)
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“…Figure 11 shows implementation of SW SISO MAP decoder (Dawid & Meyr, 1995), and a comparison of hardware requirement is made between the implementation of SW SISO MAP decoder with the standard SISO MAP decoder. Figure 11 shows that for SW SISO MAP decoder, hardware requirement is higher than in case of standard SISO MAP decoder as SW SISO MAP decoder uses time multiplexing to reduce the latency.…”
Section: Sliding Window Siso Map Decodermentioning
confidence: 99%
“…Figure 11 shows implementation of SW SISO MAP decoder (Dawid & Meyr, 1995), and a comparison of hardware requirement is made between the implementation of SW SISO MAP decoder with the standard SISO MAP decoder. Figure 11 shows that for SW SISO MAP decoder, hardware requirement is higher than in case of standard SISO MAP decoder as SW SISO MAP decoder uses time multiplexing to reduce the latency.…”
Section: Sliding Window Siso Map Decodermentioning
confidence: 99%
“…To reduce both the memory requirements and the latency, a sliding window algorithm (SW) is used [7]. Using the same graphical representation as in [3], our modified SW-FB algorithm with windows of size L symbols is depicted in Fig.…”
Section: Algorithm Architecture Matchingmentioning
confidence: 99%
“…Latency and memory size are significantly reduced by the sliding window approach [3], [20]- [22]. Backward (and/or forward) metrics are initialized at an intermediate point instead of the end or the beginning of the block.…”
Section: B Decodermentioning
confidence: 99%