标签: results

NewresultsonthesynthesisofFO-PIDcontrollers

NewresultsonthesynthesisofPIDcontrollers(ShankarP.Bhattacharyya)

NewresultsonVRFTdesignofPIDcontroller

FurtherresultsonthesynthesisofPIDcontrollers

CPU速度测试结果MicroprocessorBenchmarkResultsRabbitSemiconductor5Feb.20001.DescriptionofBenchmarkTestsAbenchmarkprogramwasdevisedtotestthefloatingpointperformanceoftheRabbit2000againstanumberofpopular8-bitmicroprocessors.Inordertoensurethatthecom-parisonwasbasedonpracticalmicroprocessorsystemsthefollowinggroundruleswereapplied.Thesystemmustbeabletogeneratestandardbaudrates.Thisrestrictstheclockfre-quenciesthatcanbeused.Thesystemmustbeabletooperateusing55nSaccesstimeflashmemorytostorethecode.Thisavoidssystemthatmustuseimpracticaloroverlyexpensivememorytostorecode.Inmostcasestheactualtestswererunusingavailableequipmentandinonecaseasoft-war……

TraditionalDSPisbasedonalgorithms,changingdatafromoneformtoanotherthroughstep-bystepprocedures.Mostofthesetechniquesalsoneedparameterstooperate.Forexample:recursivefiltersuserecursioncoefficients,featuredetectioncanbeimplementedbycorrelationandthresholds,animagedisplaydependsonthebrightnessandcontrastsettings,etc.Algorithmsdescribewhatistobedone,whileparametersprovideabenchmarktojudgethedata.Theproperselectionofparametersisoftenmoreimportantthanthealgorithmitself.Neuralnetworkstakethisideatotheextremebyusingverysimplealgorithms,butmanyhighlyoptimizedparameters.Thisisarevolutionarydeparturefromthetraditionalmainstaysofscienceandengineering:mathematicallogicandtheorizingfollowedbyexperimentation.Neuralnetworksreplacetheseproblemsolvingstrategieswithtrial&error,pragmaticsolutions,anda"thisworksbetterthanthat"methodology.ThischapterpresentsavarietyofissuesregardingparameterselectioninbothneuralnetworksandmoretraditionalDSPalgorithms.CHAPTERNeuralNetworks(andmore!)26TraditionalDSPisbasedonalgorithms,changingdatafromoneformtoanotherthroughstep-by-stepprocedures.Mostofthesetechniquesalsoneedparameterstooperate.Forexample:recursivefiltersuserecursioncoefficients,featuredetectioncanbeimplementedbycorrelationandthresholds,animagedisplaydependsonthebrightnessandcontrastsettings,etc.Algorithmsdescribewhatistobedone,whileparametersprovideabenchmarktojudgethedata.Theproperselectionofparametersisoftenmoreimportantthanthealgorithmitself.Neuralnetworkstakethisideatotheextremebyusingverysimplealgorithms,butmanyhighlyoptimizedparameters.Thisisarevolutionarydeparturefromthetraditionalmai……