数字滤波器的满意优化设计

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1、西南交通大学硕士研究生学位论文第1I页AbstractDigitalfilterisoneoftheparticularandimportantclassesinDSP(digitalsignalprocessing)anddiscretetimesystemwhichconvertsinputdigitalsequenceintodifferentoutputonesusingcomputingalgorithm．IthasbeingthemostimportantmeansinDSPbecauseofitsflexible，convenient，higherpr

2、ecisionandreliability．Asallknow,therearemanykindsofmodemalgorithmsindigitalfilterdesigning，includinggeneticalgorithms(GA)，simulatedannealing(SA)，tabusearch(TS)，theantcolonyoptimization(ACO)，neuralnetworksQ烈s)andartificialimmunealgorithm(IA)etc．Nevertheless，eachmethodhasitsadvantageandd

3、isadvantage．ArightalgorithmCannotonlyreducemoreruntimebutsaveEMSmemoryaswell．FrequencysamplingisoneofwaysthatareusedindesigningFIRdi舀talfilter,butthetraditionalwayscan’tsatisfythedesigner’Srequires．ThispaperestablishedaoptimumdesignofFIRdigitalfilterbysamplingintheintermediatezonebased

4、onthemulti-criterionsatisfactoryoptimization(MCSO)，anddiscussedthesatisfactoryoptimization．Chapteronegivesthesimpleintroductiontothetraditionaloptimizationandwhatwouldbeconsideredthesatisfactoryoptimization．Chaptertwoisonthebasisofanalyzingmankind’Sintelligentmodeofthinking,proposesthe

5、generaldefinitionofthesatisfactoryoptimizationandtheprocedurediagramofit．AdefinitionofSatisfactorysolutionandsatisfactoryratefunctionthatgenerallysuitablearegiven．ThedissertationintroducesamodelofMCSOthatcombinessatisfactoryoptimization、加t11geneticalgorithm．Chapterthreeintroducesthelin

6、earityconstraintconditionandfrequencyrespondcharacteristicofFIRdigitalfilter,andestablishesadesignwayincommonuse⋯--Frequencysampling．ChapterfourappliesMCSOtotheoptimizeddesignofFIRdi昏talfilters，andrealizestheoptimizationoftheintermediatezonesample．developsthesatisfactoryoptimumdesignso

7、fthelowFIRdigitalfilterbytwopointssamplesintheintermediatezoneandthebandFIRfilterbytwopoints．Itindicatedthatthesatisfactoryoptimizationismoreperfectthantraditionalonefromthegoodsimulationresults．Thevalidityandfeasibilityofthismethodarestated．Keywords：Satisfactoryoptimization；Multi-cr