Parallelised max-Log-Map model

Loo, Kok-Keong; K, Salman; Alukaidey, T.; Jimaa, Shihab

doi:10.1049/el:20020663

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Applying Distributive Law1

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2006

2015

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Cited by 3 publications

(2 citation statements)

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“…All these 2m+1yks, however, share only four values that are symmetrical [6] because every term in (2) is also a function of (Xk5, xkf) pair with possible four combinations being (+ 1, + 1).…”

Section: Applying Distributive Lawmentioning

confidence: 99%

See 1 more Smart Citation

Precision Bits Can Be Reduced by One in Max-Log-MAP-Based Decoder

Ling

Xie

Wang

2006

2006 International Conference on Communications, Circuits and Systems

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The addition and taking the maximum (max) operations, as well as all the quantized data involved in the Max-Log-MAP Turbo decoding algorithm form a commutative max-sum semiring. In this paper performance degradation of Turbo decoding caused by shift operations using fixed-point data representation and unified precision bits is solved when the distributive law is properly applied to this semiring, with a bonus of considerable computational saving and precision bit reduction from 3 to 2 for all the pertinent variables with negligible performance degradation.

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Section: Applying Distributive Lawmentioning

confidence: 99%

“…A large number of identical simple operations (i.e., addcompare-select) are repeated in sequence for the processing of huge data volume, implying that the algorithm is highly parallelisable [6]. The decoder structure can be simplified because the algorithm is signal-to-noise ratio (SNR) independent [7] [8].…”

Section: Introductionmentioning

confidence: 99%