基于EMDCLEAN的圖像去噪方法

來源:用戶上傳      作者:曾展挺

　　
　　摘要：魍車鬧斬松璞附詰閌侗鴟椒ㄎ醇撲憬詰悴舛戎副輳導致其節點識別效率和識別率低、識別速度慢。為此，基于邊緣計算技術設計了新的終端設備遠程部署節點智能識別方法。首先采用希爾伯特變換技術，將處于時域的終端設備信號分解為復頻域信號的頻率和相位，并確定節點關聯程度，建立終端設備網絡空間模型;然后利用邊緣計算技術設計節點參考框架，計算節點子圖和最大鄰居連通密度測度，從而實現對終端設備遠程部署節點的有效識別。實驗結果表明：本方法識別終端設備遠程部署節點所需的時間更短，且對節點的變化更為敏感，具有較高的識別效率和節點識別率。
　　關鍵詞：邊緣計算技術;終端設備;遠程部署節點;節點識別;節點關聯程度;連通密度
　　中圖分類號：TP399文獻標識碼：A
　　
　　ResearchonIntelligentIdentificationofRemote
　　DeploymentNodeofYerminalEquipmentBased
　　onEdgeComputingTechnology
　　
　　LUYuhua，GAOWenjun，ZHANGWei
　?。˙eijingZhixinSemiconductorTechnologyCo.，Ltd.，Beijing102200，China）
　　Abstract：Thetraditionalnoderecognitionmethodofterminalequipmentdoesnotcalculatethenodemeasureindex，whichleadstothelownoderecognitionefficiencyandrecognitionrateandslowrecognitionspeed.Forthisreason，anewintelligentidentificationmethodforremotedeploymentnodesofterminalequipmentisdesignedbasedonedgecomputingtechnology.Firstly，thesignalinthetimedomainisdecomposedintothefrequencyandphaseofthesignalinthecomplexfrequencydomainbyusingtheHilberttransformtechnology，andthenodecorrelationdegreeisdeterminedtoestablishthenetworkspacemodeloftheterminalequipment.Then，thenodereferenceframeisdesignedbyusingedgecomputingtechnology，andthenodesubplotandthemaximumneighborconnectivitydensitymeasurearecalculated，soastorealizetheeffectiveidentificationoftheterminalequipmentremotedeploymentnode.Theexperimentalresultsshowthattheproposedmethodtakeslesstimetoidentifytheremotedeploymentnodesofterminalequipment，andismoresensitivetothechangesofnodes，andhashigherrecognitionefficiencyandnoderecognitionrate.

nlc202204191400

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