简介:介绍配对的Haar变换被显示出的最近的不同性质。不完全地指定的布尔功能的NonpolynomialHaarPxpansion被介绍了。把配对的Haar光谱的一些应用基于上述性质和扩大被建议了。为Haar对光谱从的计算的算法拆散为不完全地指定的布尔功能的系统的立方体也被开发了。
简介:小波分析多尺度特征可以替代B样条基,将多尺度特性带入到曲面之中。这样就可以将分辨率较高的曲面分解成小波系数组和分辨率较低的曲面。运用离散内积和非均匀B样条节点插入算法,根据整体光顺度,从曲面对应的最坏节点进行局部光顺,选择最坏节点的光顺区域,运用约束方程,在光顺界面边界基本不变的条件下,对细节部分迭代进行分解,控制误差。在光顺时又可以保持曲面的连续性。
简介:Inthispaper,westudyaspecialclassoffractalinterpolationfunctions,andgivetheirHaar-waveletexpansions.Onthebasisoftheexpansions,weinvestigatetheH(o|¨)ldersmoothnessofsuchfunctionsandtheirlogicalderivativesoforderα.
简介:Asthesignificantbranchofintelligentvehiclenetworkingtechnology,theintelligentfatiguedrivingdetectiontechnologyhasbeenintroducedintothepaperinordertorecognizethefatiguestateofthevehicledriverandavoidthetrafficaccident.Thedisadvantagesofthetraditionalfatiguedrivingdetectionmethodhavebeenpointedoutwhenwestudyonthetraditionaleyetrackingtechnologyandtraditionalartificialneuralnetworks.Onthebasisoftheimagetopologicalanalysistechnology,Haarlikefeaturesandextremelearningmachinealgorithm,anewdetectionmethodoftheintelligentfatiguedrivinghasbeenproposedinthepaper.Besides,thedetailedalgorithmandrealizationschemeoftheintelligentfatiguedrivingdetectionhavebeenputforwardaswell.Finally,bycomparingtheresultsofthesimulationexperiments,thenewmethodhasbeenverifiedtohaveabetterrobustness,efficiencyandaccuracyinmonitoringandtrackingthedrivers’fatiguedrivingbyusingthehumaneyetrackingtechnology.