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USING WAVELET TRANSFORM TO STUDY THELIPSCHITZ LOCAL SINGULAR EXPONENTIN WALL TURBULENCE
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作者 姜楠 王振东 舒玮 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 1998年第10期983-990,共8页
In this paper, wavelet,transform is introduced to study the Lipschitz local singular exponent for characterising the local singularity behavior of fluctuating velocity in wall turbulence. I, is found that the local si... In this paper, wavelet,transform is introduced to study the Lipschitz local singular exponent for characterising the local singularity behavior of fluctuating velocity in wall turbulence. I, is found that the local singular exponent is negative when the ejections and sweeps of coherent structures occur in a turbulent boundary layer. 展开更多
关键词 wavelet transform coherent structure Lipschitz local singular exponent
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An improved wind quality control for the China-France Oceanography Satellite (CFOSAT) scatterometer
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作者 Xiaoheng Mou Wenming Lin 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2024年第5期100-109,共10页
Quality control(QC)is an essential procedure in scatterometer wind retrieval,which is used to distinguish good-quality data from poor-quality wind vector cells(WVCs)for the sake of wind applications.The current wind p... Quality control(QC)is an essential procedure in scatterometer wind retrieval,which is used to distinguish good-quality data from poor-quality wind vector cells(WVCs)for the sake of wind applications.The current wind processor of the China-France Oceanography Satellite(CFOSAT)scatterometer(CSCAT)adopts a maximum likelihood estimator(MLE)-based QC method to filter WVCs affected by geophysical noise,such as rainfall and wind variability.As the first Ku-band rotating fan-beam scatterometer,CSCAT can acquire up to 16 observations over a single WVC,giving abundant information with diverse incidence/azimuth angles,as such its MLE statistical characteristics may be different from the previous scatterometers.In this study,several QC indicators,including MLE,its spatially averaged value(MLE_(m)),and the singularity exponents(SE),are analyzed using the collocated Global Precipitation Mission rainfall data as well as buoy data,to compare their sensitivity to rainfall and wind quality.The results show that wind error characteristics of CSCAT under different QC methods are similar to those of other Ku-band scatterometers,i.e.,SE is more suitable than other parameters for the wind QC at outer-swath and nadir regions,while MLE_(m) is the best QC indicator for the sweet region WVCs.Specifically,SE is much more favorable than others at high wind speeds.By combining different indicators,an improved QC method is developed for CSCAT.The validation with the collocated buoy data shows that it accepts more WVCs,and in turn,improves the quality control of CSCAT wind data. 展开更多
关键词 China-France Oceanography Satellite(CFOSAT) SCATTEROMETER winds quality control(QC) singularity exponent(SE)
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EXISTENCE RESULTS FOR DEGENERATE ELLIPTIC EQUATIONS WITH CRITICAL CONE SOBOLEV EXPONENTS 被引量:1
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作者 范海宁 刘晓春 《Acta Mathematica Scientia》 SCIE CSCD 2014年第6期1907-1921,共15页
In this paper, we study the existence result for degenerate elliptic equations with singular potential and critical cone sobolev exponents on singular manifolds. With the help of the variational method and the theory ... In this paper, we study the existence result for degenerate elliptic equations with singular potential and critical cone sobolev exponents on singular manifolds. With the help of the variational method and the theory of genus, we obtain several results under different conditions. 展开更多
关键词 existence results variational method critical cone Sobolev exponent singular potential
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Bergman kernel and complex singularity exponent
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作者 LEE HanJin 《Science China Mathematics》 SCIE 2009年第12期2590-2603,共14页
We give a precise estimate of the Bergman kernel for the model domain defined by Ω F = “(z,w) ∈ ? n+1: Im w ? |F(z)|2 > 0”, where F = (f 1, ..., f m ) is a holomorphic map from ? n to ? m , in terms of the comp... We give a precise estimate of the Bergman kernel for the model domain defined by Ω F = “(z,w) ∈ ? n+1: Im w ? |F(z)|2 > 0”, where F = (f 1, ..., f m ) is a holomorphic map from ? n to ? m , in terms of the complex singularity exponent of F. 展开更多
关键词 Bergman kernel complex singularity exponent model domain 32A25
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Singularity Detection of Signals Based on their Wavelet Transform 被引量:5
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作者 ZHENG Ji ming (Chongqing University of Posts and Telecommunications, Chongqing 400065,P.R. China) 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2000年第3期12-16,共5页
This paper introduces a multiresolution decomposition of signals based on their wavelet transform. The different behaviors of the wavelet transform between the signal and the noise are compared. An algorithm of singul... This paper introduces a multiresolution decomposition of signals based on their wavelet transform. The different behaviors of the wavelet transform between the signal and the noise are compared. An algorithm of singularity detection and processing in signals is proposed by the modulus maximum of the wavelet transform. 展开更多
关键词 wavelet transform Lipschitz exponents singularity detection
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Singular and fractional integral operators on preduals of Campanato spaces with variable growth condition
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作者 NAKAI Eiichi 《Science China Mathematics》 SCIE CSCD 2017年第11期2219-2240,共22页
We investigate the boundedness of singular and fractional integral operators on generalized Hardy spaces defined on spaces of homogeneous type, which are preduals of Campanato spaces with variable growth condition. To... We investigate the boundedness of singular and fractional integral operators on generalized Hardy spaces defined on spaces of homogeneous type, which are preduals of Campanato spaces with variable growth condition. To do this we introduce molecules with variable growth condition. Our results are new even for R^n case. 展开更多
关键词 singular integral fractional integral Hardy space Campanato space variable exponent space of homogeneous type
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Image edge detection based on multi-fractal spectrum analysis
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作者 WANG Shao-yuan WANG Yao-nan 《Frontiers of Electrical and Electronic Engineering in China》 CSCD 2006年第2期146-152,共7页
In this paper,an image edge detection method based on multi-fractal spectrum analysis is presented.The coarse grain Holder&&exponent of the image pixels is first computed.then,its multi-fractal spectrum is est... In this paper,an image edge detection method based on multi-fractal spectrum analysis is presented.The coarse grain Holder&&exponent of the image pixels is first computed.then,its multi-fractal spectrum is estimated by the kernel estimation method.Finally,the image edge detection is done by means of different multi-fractal spectrum values.Simulation results show that this method is efficient and has better locality compared with the traditional edge detection methods such as the Sobel method. 展开更多
关键词 Image edge detection Multi-fractal spectrum Holder singular exponent Kernel estimation
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