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Computing the minimum distances of linear codes by the error impulse method
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2003
Year
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Numerical AnalysisEngineeringError Control TechniqueIterative DecodingComputational ComplexityJoint Source-channel CodingPattern RecognitionCoding TheoryError Impulse MethodApproximation TheoryVariable-length CodePartial EnumerationMinimum DistanceComputer EngineeringLinear CodesInverse ProblemsComputer ScienceMinimum DistancesError Correction CodeSignal Processing
A new method for computing minimum distances is proposed and justified. Unlike classical techniques that rely on the exhaustive or partial enumeration of codewords with weights lower than or equal to the minimum distance, this new method is based on the ability of the soft-in decoder, when it exists, to overcome error impulse input patterns.