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简介：Bytakingtheurbangreenlandastestingobjective,theGeoEye-1fusionimageasbackground,andusingMoran’sindex,thecorrelativityofgreenlandunitshasbeenmeasured.Then,thepresamplingwasconductedbasedonthemeasuredcorrelativity,thesystematicsamplingdesignhasbeencarriedoutattheprecision95%and85%.ByusingofKriginginterpolationmethod,theweightofdifferenttypeofgreenlandhasbeendividedintothestratifications.Throughthestratifiedsampling,theestimationofgreenlandcoveragehasbeenobtained.Theresultsshowthattheurbangreenlandcoverageareais14.81km~2,accountingfor27.73%ofallurbanlandareas.Comparedwiththecommonsamplingmethod,theprecisionofthatincreasedabout3%.Thismethodcanalsobeutilizedinmonitoringdynamicvariationofurbangreenlandwiththerealtimeimages.

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简介：SNRestimationofcommunicationsignalsisimportanttoimprovedemodulationperformanceandchannelqualityofcommunicationsystem,thusitisanimportantresearchissueofcommunicationfield.AccordingtothecoreproblemofautocorrelationmatrixsingularvalueinSNRestimationprocess,throughmakinguseofhouseholdertransformingautocorrelationmatrixintotridiagonalmatrix,andbyusingtherelationofcorrespondingcharacteristicequationcoefficientsandsingularvalue,anumericalalgorithmisgi...

简介：这研究的目的是基于它的感性的性质揭示噪音烦恼的原因。从自相关功能ACF提取的可得到的物理因素被用来解释主要感觉和道路车辆噪音的代表性的感性的性质。二个新奇因素，EMD和ESM，特别为测量ACF信封的变化和光滑使用，被建议。这应该被指出如果除了0，1不是最大的价值，两并且-被建议被补充说。三主要感觉大声，程度，和音质被把princi-伙伴部件分析用于从232件噪音样品提取的ACF因素获得了。从10个题目，烦恼规模价值在wellcontrolled下面用大小评价途径被调查试验性的条件。当然在那里存在，这被认识到为每种主要感觉的基本因素。不同ACF特征能导致多样的主导的感觉，它将控制或决定噪音的感性的性质。在主要感觉的主导的感觉和优先级差别的可变性将拿出主观烦恼。而且，基本因素的混合将使听觉的特征糊涂，并且导致主观烦恼。换句话说，它是引起并且影响噪音烦恼的感性的性质的混乱。

简介：PopularregionalinequalityindexessuchasvariationcoefficientandGinicoefficientcanonlyrevealoverallinequality,andhavelimitedabilityinrevealingspatialdependenceorspatialagglomeration.Recentlysomemethodsofexploratoryspatialdataanalysissuchasspatialautocorrelationhaveprovidedeffectivetoolstoanalyzespatialagglomerationandcluster,whichcanrevealthepatternofregionalinequality.ThisarticleattemptstousespatialautocorrelationatcountyleveltogetrefinedspatialpatternofregionaldisparityinChinesenortheasteconomicregionover2000-2006(2001absent).Theresultindicatesthatthebasictrendofregionaleconomyisanincreasingconcentrationofgrowthamongcountiesinnortheasteconomicregion,andtherearetwogeographicalclustersofpoorercountiesincludingthecountiesinwesternLiaoningProvinceandadjacentcountiesinInnerMongolia,poorercountiesofHeihe,QiqiharandSuihuainHeilongjiangProvince.Thisarticlealsorevealsthatwecanusethemethodsofexploratoryspatialdataanalysisasthesupplementaryanalysismethodsinregionaleconomicanalysis.