On Optimal Binary One-Error-Correcting
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On Optimal Binary One-Error-Correcting
OnOptimalBinaryOne-Error-CorrectingCodesofLengthsand
DenisS.Krotov,PatricR.J.Östergård,andOlliPottonen
Abstract—BestandBrouwer[2]provedthattriply-shortened
anddoubly-shortenedbinaryHammingcodes(whichhavelength
and,respectively)areoptimal.Propertiesof
suchcodesareherestudied,determiningamongotherthingsparametersofcertainsubcodes.Autilizationofthesepropertiesmakesacomputer-aidedclassi cationoftheoptimalbinaryone-error-correctingcodesoflengths12and13possible;thereare237610and117823suchcodes,respectively(with27375and17513inequivalentextensions).Thiscompletestheclassi cationofoptimalbinaryone-error-correctingcodesforalllengthsupto15.Somepropertiesoftheclassi edcodesarefurtherinvestigated.Finally,itisprovedthatforany,thereareoptimalbinary
andthatone-error-correctingcodesofcannotbelengthenedtoperfectcodesoflength.IndexTerms—Automorphismgroup,classi cation,clique,error-correctingcode,MacWilliamstransform.
Abinarycodeoflength,size,andminimumdistanceissaidtobeancode.Sinceacodewithminimumdistanceisabletocorrectuptoerrors,suchacodeissaidtobe-error-correcting.Ifeverywordintheambientspaceisatdistanceatmostfromsomecodewordofa-error-correctingcode,thenthecodeiscalledperfect.
Themaximumsizeofabinarycodeoflengthandminimumdistanceisdenotedby;thecorrespondingcodesaresaidtobeoptimal.Forbinarycodesthereisadirectconnectionbetweenoptimalerror-correctingcodeswithoddandevenmin-imumdistance:
(1)
Onegetsfromtheoddcasetotheevencasebyextendingthecodewithaparitybit,andfromtheevencasetotheoddcasebyremovinganarbitrarycoordinate,calledpuncturing.Othertransformationsofcodesincludeshortening,whereacoordinateisdeletedandallcodewordsbutthosewithagivenvalueinthedeletedcoordinateareremoved,andlengtheningwhichisthereverseoperationofshortening.See[1]forthebasictheoryoferror-correctingcodes.
Whenstudyingoptimalerror-correctingcodes—orsubop-timalforthatsake—itisreasonabletorestrictthestudytocodesthatareessentiallydifferentinthefollowingsense.Twobinarycodesaresaidtobeequivalentifthecodewordsofoneofthecodescanbemappedontothoseoftheotherbytheadditionofavectorfollowedbyapermutationofthecoordinates.Suchamappingfromacodeontoitselfisanautomorphismofthecode;thesetofallautomorphismsofacodeformstheautomorphismgroupof,denotedby.
Acodewithonlyeven-weightcodewordsissaidtobeeven.Codesequivalenttoevencodesareofcentralimportanceinthecurrentwork;thesecodeshaveonlyeven-weightcodewordsoronlyodd-weightcodewords,andtheyarecharacterizedbythefactthatthedistancebetweenanytwocodewordsiseven.Wethereforecallsuchcodeseven-distancecodes(nottobecon-fusedwithcodesthathaveevenminimumdistance).
Hammingcodesareperfect(andtherebyoptimal)one-error-correctingcodes:
I.INTRODUCTION
BINARYcodeoflengthisaset,where
isthe eldoforder2.The(Hamming)distancebe-tweenelements,calledwords(orcodewordswhentheybelongtoacode),isthenumberofcoordinatesinwhichtheydifferandisdenotedby.Theminimumdistanceofacodeisthesmallestpairwisedistanceamongdistinctcode-words:
A
The(Hamming)weightofnonzerocoordinates.
ofawordisthenumber
ManuscriptreceivedFebruary18,2011;acceptedApril07,2011.DateofpublicationMay19,2011;dateofcurrentversionOctober07,2011.TheworkofD.S.KrotovwassupportedbytheFederalTargetProgram“Scienti candEdu-cationalPersonnelofInnovationRussia”for2009–2013(GovernmentContract02.740.11.0429)andbytheRussianFoundationforBasicResearchunderGrant10-01-00424.TheworkofP.R.J.ÖstergårdwassupportedbytheAcademyofFinlandunderGrants130142and132122.TheworkofO.Pottonenwassup-portedbytheAcademyofFinlandGrant128823,theHelsinkiInstituteofIn-formationTechnologyHIITproject“AlgorithmicSystems,”andbytheFinnishCulturalFoundation.
D.S.KrotoviswiththeSobolevInstituteofMathematicsandtheMechanicsandMathematicsDepartment,NovosibirskStateUniversity,630090Novosi-birsk,Russia.
P.R.J.ÖstergårdiswiththeDepartmentofCommunicationsandNet-working,AaltoUniversitySchoolofElectricalEngineering,00076Aalto,Finland,andalsowithLehrstuhlfürMathematikII,UniversitätBayreuth,95440Bayreuth,Germany(e-mail:patric.ostergard@tkk. ).
O.PottonenwaswiththeDepartmentofInformationandComputerScience,AaltoUniversitySchoolofScience,00076Aalto,Finland.HeisnowwiththeDepartamentdeLlenguatgesiSistemesInformàtics,UniversitatPolitècnicadeCatalunya,08034Barcelona,Spain.
CommunicatedbyM.Blaum,AssociateEditorforCodingTheory.DigitalObjectIdenti er10.1109/TIT.2011.2147758
BestandBrouwer[2]showedthatbyshorteningHammingcodesone,two,orthreetimes,onestillgetsoptimalcodes:
(2)
0018-9448/$26.00©2011IEEE
Forallbuttheverysmallestparameters,therearemanyin-equivalentcodeswiththeparametersin(2).Ingeneral,acom-pletecharacterizationorclassi cationofsuchcodesdoesnotseemfeasible,buttheclassi cationproblemcanbeaddressedforsmallparametersandgeneralpropertiesofthesecodescanbestudied.Forexample,theissuewhethercodeswiththesepa-rameterscanbelengthenedtoperfectcodeshasattractedsomeinterestintheliterature[3]–[6].For,everycode(2)canbelengthenedtoaperfectcodeandthiscanbedoneinauniquewayuptoequivalence[3].Consequently,codeswithsuchpa-rametersareinadirectrelationshiptotheperfectcodes,soourmaininterestisinthecodeswithand.
Oneaimofthecurrentworkistostudypropertiesofcodeswiththeparametersofdoubly-shortenedandtriply-shortenedperfectbinaryone-error-correctingcodes.ThisstudyisstartedinSectionIIbyconsideringcertainpropertiesofsubcodes,whichcanbeutilizedinacomputer-aidedclassi cationofoptimalbinaryone-error-correctingcodesoflength12and13,consideredinSectionIII.Itturnsoutthatthenumberofequivalenceclassesofandcodesis237610and117823,respectively.Somecentralpropertiesoftheclassi edcodesareanalyzedinSectionIV.Finally,in nitefamiliesofoptimalone-error-correctingcodesoflengthandthatcannotbelengthenedtoperfectone-error-cor-rectingcodesoflengtharepresentedinSectionV.Apreliminaryversionofsomeoftheresultsinthisworkcanbefoundin[6].
Asonlybinarycodesareconsideredinthecurrentwork,thewordbinaryisomittedinthesequel.
II.PROPERTIESOFSUBCODES
Somepropertiesrelatedtosubcodesofthecodesunderstudyareconvenientlyinvestigatedintheframeworkoforthogonalarrays.Anorthogonalarrayofindex,strength,degree,andorderisaarraywithentriesfrom
andthepropertythateverycolumnvector
appearsexactlytimesineverysubarray;necessarily
.Thedistancedistributionofancodeisde nedby
WewillneedthefollowingtheorembyDelsarte[7];formoreinformationabouttheMacWilliamstransform,seealso[1,Ch.5].
Theorem1:AnarrayisanorthogonalarrayofstrengthifandonlyiftheMacWilliamstransformofthedistancedistribu-tionofthecodeformedbythecolumnsofthearrayhasentries
,.
Wearenowreadytoproveacentralresult,essentiallyfol-lowingtheargumentsof[2,Th.6.1](where,however,thecase
ratherthanisconsidered).Theorem2:Every
codeisaneven-distancecodeandformsan
with,
,and
.
Proof:We rstshowthataneven-distance
codeformsanorthogonalarraywith
thegivenparameters.Letbethedistancedistributionof,andletbetheMacWilliamstransformof,thatis
(3)
where
isaKrawtchoukpolynomial.Itiswellknownthatand
for[7].
Asisaneven-distancecode,forodd,and,since
,wehave
(4)
Let
.Direct
calculationsnowshowthat
(5)
From(5)and
wederive
(6)
andforanyotherinteger.Wehave,
,and,sincehasminimumdistance4,.Utilizing(4),
wethenget
(7)
andthereby
Weknowthatinfact,sowehaveequal-itiesin(7).Thisimpliesthat,
thatis,for.By(6)andthecommentthereafter,itfollowsthatfor(and
).ApplicationofTheorem1showsthat
wehaveanorthogonalarraywiththegivenparameters.Toshowthatanycodeisindeedaneven-distancecode,weassumethatthereisacodewhichisnot,tolaterarriveatacontradiction.Thecodecanbeparti-tionedintosetsofeven-weightandodd-weightcodewords,de-notedbyand,respectively.Thatis,
KROTOVetal.:ONOPTIMALBINARYONE-ERROR-CORRECTINGCODESOFLENGTHSAND6773
,withand
.Foranycodewords,,,wehave
(asthedistanceis
oddandgreaterthan4).Let
whereistheweight-onevectorwiththe1incoordinate.We
nowknowthatisaneven-distancecodeforany.Wenextprovethatisanorthogonalarraywiththesamestrength(seetheearlypartoftheproof)asthedifferenteven-distancecodes.Theproofthatthesameholdsforisanalogous.W.l.o.g.,itsuf cestoconsiderthelastcoordinatesandtwo-tuplesthatdifferonlyinone(wechoosethelast)coordinate—inductionthenshowsthatthisholdsforanypairs—andshowthatthesetwo-tuplesoccurinequallymanycodewordsof.
Wedenotethesetofwordsinacodethathavevalueinthelastcoordinatesby.Then
Sinceand
bothformorthogonalarrayswith
strength
,,anditfollowsthat
.
Asisaneven-distancecodethatformsanorthogonalarraywithstrength,http://wendang.chazidian.comly,wenowhaveexceptforand,andcancarryoutcalculationscloselyre-latedto(7):
so
Butsimilarlyonegets
,andthereby
when
,acontradiction.
Corollary1:Acodehasauniquedis-tancedistribution.
Proof:Itsuf cestoprovethattheMacWilliamstransformofthedistancedistributionisunique.BytheproofofTheorem2,foracodewehaveforeveryexceptforandtheunknownvalues
and.Equation(3)givesapairofequationswhichdeterminestheunknownvalues.Consequently,theremarkattheendof[2]aboutthedistancedistributionofcertaincodesnotbeinguniqueappliesonlytotriply-shortenedperfectcodesandnottotriply-shortenedex-tendedperfectcodes.
Corollary2:Everycodewith
isaneven-distancecode.
Proof:Fromacodewiththegivenparametersthatisnotaneven-distancecode,onecangetasubcodeforwhichthesameholds.Thiscanbedonebyshorteninginacoordinatewheretwocodewordsthatareatoddmutualdistancehavethesamevalue.ThisisnotpossiblebyTheorem2.
Thedistance-graphofacodeisagraphwithonevertexforeachcodewordandedgesbetweenverticeswhosecorre-spondingcodewordsareatmutualdistance.
Corollary3:Every
codewithhasaconnecteddistance-3graph.Proof:Ifthedistance-3graphofancodeisnotconnected,thentherearemorethanonewayofextendingthecodetoancode;cf.[8,p.230].Inparticular,itcanthenbeextendedtoacodethatisnotaneven-distancecode.ThisisnotpossiblebyCorollary2.
Corollary4:Shorteningacodetimeswithgivesacodethatisaneven-distancecode.Inparticular,withand,wealwaysgeta
subcodeaftershorteningacodefour
times.
However,notallcodeswith
aresubcodesofsome
code.WeshallnowstrengthenthenecessaryconditioninCorol-lary4foracodetobeasubcodeofa
code.Sincetheresultisofinterestspeci callyfortheclassi -cationinSectionIII,forclarityitispresentedonlyforsubcodesofcodes.Forthegeneralcase,similarconditionscanalternativelybeobtainedusingresultsbyVasil’eva[9]andconnectionsbetweencodesand1-perfectcodesoflength[10,Cor.4].Theorem3:Letbeobtainedfromacodebyshorteningtimes,,andletdenotethenumberofcodewordsofweightin.Ifisanevencode,then
,andifisacodewithonlyodd-weight
codewords,then.
Proof:Withoutlossofgenerality,weassumethatshort-eningiscarriedoutbyextractingcodewordswithzerosingivencoordinates(afterwhichthecoordinatesaredeleted).We rstconsiderthecasegivenanevencode.Considerallsubcodesobtainedbylookingatalldif-ferentsetsoffourandshorteningwithrespecttozerosinthesecoordinates.ByCorollary4,everysuchsubcodehascardinality16,sothesumoftheircardinalitiesis
.Inthissum,everycodeword(intheofweight0isconsidered;similarlyforeach
6774IEEETRANSACTIONSONINFORMATIONTHEORY,VOL.57,NO.10,OCTOBER2011
codewordofweight2,4,6,and8,wegetthecounts330,126,35,and5,respectively.
Afterrepeatingthesecalculationswithrespecttoshorteningsin3,2,1,and0coordinates,wearriveatthefollowingsystemofequations:
Whentheseequationsarecombinedwiththecoef cients,
,,,,andwiththecoef -cients,,,,,one
getstheequationsand
,respectively.Sinceand,weget
and.Fromthelatterin-equality,wegetforodd-weightcodesafter
addingtheall-onewordtoallcodewords.Thiscompletestheprooffor.Theinequalitymeansthatwehaveeither
or(orboth).Intheformercase,wewillhave
onecodewordofweight0afteranyshortening.Inthelattercase,ontheotherhand,thecodewordsofweight2musthavedisjointsupports,soatmostofthemarelostwhenshorteningtimes.Itfollowsthataftershorteningtimes.Thisprovesthe rstpartofthetheorem.
Forthesecondpartofthetheorem,weuseinductionandletbeacodeobtainedbyshorteninganevencodetimes.Moreover,let,soandareobtainedaftershorteningthecodetimes;isobviouslyevenandhasonlyodd-weightcodewords.Wealsode nethecode(whichisobviouslyequivalentto).Theweightdistributionsofthecodes,,,andaredenotedby,,,and,respectively,so
and.From
and
wenowobtain
Thiscompletestheproof.
ItcouldbepossibletosharpenTheorem3,but,asweshalllatersee,itful llsourneedsinthecurrentstudy.
III.CLASSIFICATIONOFONE-ERROR-CORRECTINGCODESBeforedescribingtheclassi cationapproachusedinthecur-rentwork,wegiveashortreviewofsomeoldrelatedclassi -cationresults.
A.SurveyofOldResults
Asurveyofclassi cationresultsforoptimalerror-correctingcodescanbefoundin[8,Sec.7.1.4],wherecataloguesofop-timalcodescanalsobeobtainedinelectronicform.Inthecurrentstudy,weconsideroptimalcodeswith—thatis,optimalone-error-correctingcodes—and.Zaremba[11]provedthatthecodeattainingisunique(uptoequivalence)andsoisthereforeitsextension;itisnotdif culttoshowthatalloptimalcodeswithshorterlengthsarealsounique.BaichevaandKolev[12]provedthatthereare5equivalenceclassesofcodesattaining,andthesehave3extensions.LitsynandVardy[13]proveduniquenessofthecodeattaining
anditsextension.ThesecondauthorofthispapertogetherwithBaichevaandKolevclassi edthecodesattainingand;thereare562equivalenceclasses(with96extensions)and7398equivalencesclasses(with1041exten-sions)ofsuchcodes,respectively.
Knowingthesizesoftheoptimalone-error-correctingcodesuptolength11,oneinfactknowsthesizesofsuchcodesuptolength15by(2).
Theperfectcodesattainingwereclassi- edbythesecondandthethirdauthor[14];thenumberofequivalenceclassesofsuchcodesis5983,http://wendang.chazidian.comingaresultbyBlackmore[3],thisclassi cationcanbeusedtogetthenumberofequivalenceclassesofcodesattaining
,whichis38408;thesehave5983extensions.
Alltheseresultsstillleavetheclassi cationproblemopenforlengths12and13.Itisknown[5]thatnotallsuchcodescanbeobtainedbyshorteningcodesoflength14or15.B.Classi cationApproach
Thegeneralideaunderlyingthecurrentworkistoclas-sifycodesinaniterativemannerbyutilizingthefactthatan
codehasansubcodewith.
Thisidea—withvariousvariations—hasbeenusedearlierin[15]andelsewhere.However,itiseasytoarguewhyitisnotfeasibletoclassifytheandcodesdirectlyinsuchamanner.Aclassi cationoftheandcodesviaaclassi cationofthecodeswithwouldleadtoaprohibitivenumberofcodesoflength11.Toseethis,itsuf cestoobtainaroughboundonthenumberofequivalenceclassesofcodes.Everyoptimalcodehasdifferentsubsetsof128codewords,andanysuchsetofcanbeequivalenttoatmostsetsintotal.There-fore,thereareatleast
equivalenceclassesofcodes.Similar(rough)boundscanbeobtainedforthenumberofcodeswith.
KROTOVetal.:ONOPTIMALBINARYONE-ERROR-CORRECTINGCODESOFLENGTHSAND6775
Sofarinthissection,wehaveconsideredthecase.Ofcourse,by(1),wemightaswellconsiderthecase.Infact,weshalldosointhesequel,togetasmallernumberofequivalenceclassesofsubcodesineachstage.
Tomaketheclassi cationfeasible,weshallmakeuseofCorollary4,whichshowsthatnotonlydoallsub-codesoftheandcodeshave,butwehavethemuchstrongerresultthatallsubcodesoftheandcodeshavesizeandareeven-distancecodes.Moreover,thenumberofsubcodestobeconsideredcanbereducedconsiderablybyTheorem3.Allinall,byCorollary4theandcodescanbeobtainedasfollows:
(8)
Theeven-distance
codesareclassi editerativelyfromsmallercodes,withoutanyassumptionsonthesizesofsub-codes.
Asdescribedin[8,Sec.7.1.1],lengtheningiscarriedoutbyusingacliquealgorithm.Foreachsetofparametersinthese-quence(8),thenumberofcodesisfurtherreducedbyisomorphrejectionandbydiscardingcodesthatdonotful llCorollary4andTheorem3.Detailsregardingtheimplementationofsomeofthesepartswillbediscussednext.C.ImplementationandResults
Beforepresentingtheresultsofthecomputations,weshallconsidersomedetailsregardingtheimplementationofvariouspartsofthealgorithm.
Themethodoflengtheningcodesby ndingcliquesinacertaincompatibilitygraph—consistingofonevertexforeach(even)wordthatcanbeaddedandwithedgesbetweenverticeswhosecorrespondingwordsareatmutualdistanceatleast—iswellknown,cf.[8,Sec.7.1.1].However,weareherefacingthechallengeof ndingratherlargecliques—uptosize256,inthelaststepof(8).Thiscliquesearchcanbespedupasfollowsinthelastthreestepsof(8),againrelyingonthetheoreticalresults.
Considerthestepoflengtheningancodewith
,byincludingacoordinatewithzerosforthese
codewordsandaddingcodewordsoflengthwith1sinthenew(say, rst)coordinate.Thecandidatesforthenewcode-wordscanbepartitionedintosetsdependingonthevaluesinthe rstcoordinates(recallthatthevalueinthe rstcoordinateis1forallofthese).Letbethesubgraphoftheoriginalcompatibilitygraphinducedbytheverticescorre-spondingtothecodewordsin.Wenowconstructanewgraphwithonevertexforallcliquesofsize32inforany,andwithedgesbetweenverticeswheneverthecorrespondingcodespairwiseful lltheminimumdistancecriterion.Thecliquesofsizeingivethedesiredcodes.TheprogramCliquer[16]wasusedinthisworktosolvecliqueinstances.
Isomorphrejection,thatis,detectingandremovingcopiesofequivalentcodes,iscarriedoutviaatransformationintoagraph[15]andusingthegraphisomorphism
内容需要下载文档才能查看programnauty[17].Thegraphconsideredhastwoverticesforeachcoordinate,onefor
TABLEI
NUMBEROFINTERMEDIATE(EVEN-DISTANCE)CODES
eachvalueofthecoordinate.Theprogramnautycanbeaskedtogiveacanonicallabelingofthevertices;weusetheideaofcanonicalaugmentation[18]andrequirethatthevertexcorre-spondingtothenewcoordinateandthevaluegiventotheoldcodewordshavethesmallestlabel.(See[19]forananalogousapproachforconstantweightcodes.)Codesthatpassthistestmuststillbecomparedwiththeothercodesobtainedfromthesamesubcode.
Forthe rstfewsetsofparametersin(8),nautyprocessesthegraphsinasuf cientlyfastmanner.However,thelargerthecodes,thegreateristheneedforenhancingsuchadi-rectapproach,cf.[14].Inthecurrentwork,aninvariantwasusedthatisbasedonsetsoffourcodewordswiththesamevalueinallbutsixcoordinates,wheretheyformthestructure{000000,111100,110011,001111}[14],[20].
Thesearchstartsfromthe343566equivalenceclassesofeven-distancecodes,whichinturnwereclassi edit-erativelyfromsmallercodes.InTableI,thenumberofequiva-lenceclassesofcodesaftereachlengtheningandapplicationofthenecessaryconditionsisshown.
TableIshowsthatthereare27375equivalenceclassesof
codesaswellas17513equivalenceclassesofcodes.Puncturingthecodesinallpossibleways
andcarryingoutfurtherisomorphrejectionrevealsthatthereare237610equivalenceclassesofcodesand117823equivalenceclassesofcodes.AtotaloflessthanonemonthofCPU-timeusingonecoreofa2.8-GHzpersonalcomputerwasneededforthewholesearch.
Beforepresentingthemainpropertiesoftheclassi edcodes,weshallbrie ydiscussvalidationofthesecomputer-aidedresults.
D.ValidationofClassi cation
Datafromtheclassi cationstepscanbeusedtovalidatetheresultsbyusingadouble-countingargument.Morespeci cally,thetotalnumberofeven-distancecodes(thatis,labeledcodesdisregardingequivalence)withcanbecountedintwoways.Thisisawell-knowntechnique,see[8,Ch.10]and[19].
Theorbit-stabilizertheoremgivesthenumberoflabeledeven-distancecodesas
(9)
whereisasetwithonecodefromeachequivalenceclassofsuchcodes.
Letbeasetofrepresentativesfromallequivalenceclassesofeven-distancecodesandthenumberof nalcodes(beforeisomorphrejection)thatareobtainedin
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