2004
DOI: 10.1109/lcomm.2004.825743
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A Simplified Computational Kernel for Trellis-Based Decoding

Abstract: Link to publicationCitation for published version (APA): Kamuf, M., Anderson, J. B., & Öwall, V. (2004). A simplified computational kernel for trellis-based decoding. IEEE Communications Letters, 8(3), 156-158. DOI: 10.1109/LCOMM.2004 General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with t… Show more

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Cited by 4 publications
(3 citation statements)
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“…Supported code rates are 1/2 and 1/3. Code rate is not a critical design parameter when used with antipodal constellations such as BPSK and QPSK since the calculation of distances to the 2 c code sequences is very simple [13]. However, the design does not explicitly provide puncturing resources to enable high-rate transmission.…”
Section: M-flexible Solutionsmentioning
confidence: 99%
See 1 more Smart Citation
“…Supported code rates are 1/2 and 1/3. Code rate is not a critical design parameter when used with antipodal constellations such as BPSK and QPSK since the calculation of distances to the 2 c code sequences is very simple [13]. However, the design does not explicitly provide puncturing resources to enable high-rate transmission.…”
Section: M-flexible Solutionsmentioning
confidence: 99%
“…In an AWGN channel, the optimal distance measure is the squared Euclidean distance between received channel symbol y ¼ ðy I ; y Q Þ and constellation symbol s, that is, jy À sj 2 . For antipodal signaling this expression is reformulated to additions and subtractions of the channel symbols [13]. Channel symbols are quantized with q ¼ 3 bits without causing much performance degradation [9].…”
Section: Branch Metric Unitmentioning
confidence: 99%
“…In an earlier paper [5], we used this property and presented architectural simplifications for these units. Here, we apply this idea to see how these arithmetic savings translate into area and power savings in a silicon implementation.…”
Section: Introductionmentioning
confidence: 99%