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ecte401multimediasignalprocessing revisionlecture copyright2008 2012 christianritz universityofwollongong 1 revisionlecture lecture1 describedmultimediaandmultimediasignalstimeandfrequencyanaloganddigitalsamplingquantisationuniform non uniform adaptive revisionlecture copyright2008 2012 christianritz universityofwollongong 2 lecture2 definecompressiondescribelosslessandlossycompressionlosslesscompressionfixedlengthbinarycodehuffmancodeentropyrate revisionlecture copyright2008 2012 christianritz universityofwollongong 3 lecture3 speechsignals voicedandunvoicedshorttermcorrelationlinearpredictionremovesshorttermcorrelationmodelsthevocaltractg721predictivespeechcoder32kbpsbackwardadaptivespeechcoderevaluatingspeechqualitymostests revisionlecture copyright2008 2012 christianritz universityofwollongong 4 lecture4 introductiontospeechcodingstandardsreviewoflpbasedspeechcompressionmodelsexaminationofrepresentingtheexcitationsignalreviewofcurrentlpbasedspeechcodingstandards revisionlecture copyright2008 2012 christianritz universityofwollongong 5 lecture5 thehumanauditorysystemcdaudiompegaudiocodingmpeg 1layeriii mp3 mpeg 2mpeg 4dolbydigital ac3multichannelaudiocodingmpegsurround revisionlecture copyright2008 2012 christianritz universityofwollongong 6 lecture6 imagerepresentationdigitalimagescolourperceptionvideorepresentationbasicsofimageandvideocoding revisionlecture copyright2008 2012 christianritz universityofwollongong 7 lecture7 transformsandimagecoderswhytransform discretecosinetransformbaselinejpeg revisionlecture copyright2008 2012 christianritz universityofwollongong 8 lecture8 discretewavelettransformjpeg2000 revisionlecture copyright2008 2012 christianritz universityofwollongong 9 lecture9 motivationforvideocompressiondifferentialencodingmotionestimationmotioncompensation revisionlecture copyright2008 2012 christianritz universityofwollongong 10 lecture10 mpeg 1andmpeg 2videocoding formframesintoagopusemotionestimationandcompensationusejpegbasedtransformationandquantisationmpeg 2videocoding providesmanymoreoptionsandbitratesallowsfieldbasedvideocodingmpeg 4videocoding describesvideousingasequenceofvideoobjectsusesahierarchicaldescriptionencodesshapes texturalandmotioninformationallowsscalableencodinganduserinteractionh 264videocoding revisionlecture copyright2008 2012 christianritz universityofwollongong 11 typicalexamquestions speechandaudiocoding 1 isanalysis by synthesisasusedinspeechcodingandwhatadvantagedoesitprovide seelecture4 e g slide14onwards whatisthepurposeoflinearprediction modeltheshorttermcorrelationofthespeechsignal seelecture3 revisionlecture copyright2008 2012 christianritz universityofwollongong 12 typicalexamquestions speechandaudiocoding 3 usinghuffmancoding findthecodewordsforthefollowingtableofsymbolsandprobabilities calculatetheentropyofthesourceandcomparewiththeaveragecodewordlengthresultingfromhuffmancoding entropy 2 2391averagecodewordlength 2 33bits revisionlecture copyright2008 2012 christianritz universityofwollongong 13 typicalexamquestions speechandaudiocoding 4 listandbrieflydescribethemainstepsinvolvedinperforminglpcanalysisseelecture4findthemeansquarederrorbetweentheoriginalspeechandpredictedspeechminimisethemeansquarederrorbysettingthederivativeto0formamatrixrepresentationbasedontheautocorrelationofthespeechsignalsolveforthelpccoefficientsusinglevinson durbinrecursion revisionlecture copyright2008 2012 christianritz universityofwollongong 14 typicalexamquestions speechandaudiocoding 5 listandbrieflydescribethemainstepsinvolvedinperformingltpanalysis seelecture4findacurrentsegmentoftheresidualsignalcomparethissegmentwithaprevioussegmentlocatedatadelaymmultipliedbyagainvalue findtheminimummeansquarederrorbetweenthedelayedandcurrentresidualsegmentbysettingthederivativetozeroandsolvingforthegainvaluerepeatforallpossiblevaluesofmandchoosemand thatgivethesmallestmeansquarederrorbetweenthecurrentanddelayedsegment revisionlecture copyright2008 2012 christianritz universityofwollongong 15 typicalexamquestions speechandaudiocoding 6 whatisthemainobjectivewhendesigningaspeechcoder ensuretheperceptualqualityismaximised7 drawablockdiagramofacelpspeechcoder brieflydescribeeachblock seelecture4 slide288 explainhowthespeechproductionprocessismodelledinaspeechcoder seeslide6 lecture4 revisionlecture copyright2008 2012 christianritz universityofwollongong 16 typicalexamquestions speechandaudiocoding 9 whatistheequalloudnesscurve seeslide5 lecture5 thesplrequiredateachfrequencysothatalistenerperceivesthesoundtobeofequalloudness 10 whatismasking seeslide8 lecture511 drawablockdiagramshowingthemainstagesofaperceptualaudiocoder seeslide14 lecture5 revisionlecture copyright2008 2012 christianritz universityofwollongong 17 typicalquestions imageandvideocoding 1 drawandlabelthemainblocksofatransform baseddigitalimagecoderseeslide25oflecture6orformoredetailedanswerslide10oflecture72 drawandlabelthemainblocksofatransform baseddigitalvideocoder whatisthekeydifferencebetweenavideocoderandanimagecoder similaranswertoquestion1 butremembertoaddthemotionestimationandcompensationblock revisionlecture copyright2008 2012 christianritz universityofwollongong 18 typicalquestions imageandvideocoding 3 whatisthedifferencebetweenthestoragerequirementsforblackandwhiteimagesandcolourimages blackandwhiteimagesrequiremorebits4 comparehowthedctachievesscalablecodingwithhowthedwtachievesscalablecodingdct discardlowenergycoefficientsdwt addmorefilteringstages revisionlecture copyright2008 2012 christianritz universityofwollongong 19 typicalquestions imageandvideocoding 5 assumeaframesizeof256x256pixelsandamotioncompensatedvideocoderisusingblocksizesof8x8pixelswithamaximumdisplacementofeachblockbeing7pixelsinanydirection assumealsothatthepredictionerrorisquantisedusing0 5bpp comparethebitrates inbpp foronep frameusingthistechniquecomparedwithjpegcompressionat2bpp firstfindthenumberofmotionvectors 256x256 8x8 1024next findthenumberofbits motionvector 4 4 8next findthenumberofbitsperframe 8x1024 0 5x256x256 40960bitscomparewith2bpp numberofbits 2x256x256 131072bi
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