Publication | Closed Access
VLSI architectures for metric normalization in the Viterbi algorithm
95
Citations
5
References
1990
Year
Unknown Venue
EngineeringAlgorithmic LibraryViterbi DecodersFinite Precision ArithmeticError Correction CodeMetric NormalizationSurvivor MetricsVlsi ArchitectureComputer EngineeringIterative DecodingData NormalizationComputational ComplexityParallel ProgrammingComputer ScienceParallel ComputingCoding TheorySignal ProcessingAlgebraic Coding Theory
In the realization of Viterbi decoders with finite precision arithmetic, the values of the survivor metrics computed by the add-compare-select (ACS) recursion must remain within a finite numerical range to avoid catastrophic overflow (or underflow) situations. The authors compare several metric normalization techniques which are suitable for VLSI implementations with fixed-point arithmetic. The modulo normalization technique is found to be the most local and uniform approach. An efficient VLSI design of ACS units based on this technique is discussed. The modified comparison rule is found to produce a more efficient ACS architecture than previous results based on subtraction.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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