نتایج جستجو برای: lognormal kriging

تعداد نتایج: 7298  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه سیستان و بلوچستان 1390

یکی از چالش های مهم در افزایش ظرفیت سیستم های مخابراتی، به ویژه شبکه های سلولی، کاهش نسبت سیگنال به مجموع تداخل و نویز در گیرنده می باشد. تداخل هم کانال اصلی ترین عامل تداخل در شبکه های سلولی است. با درنظر گرفتن اثر سایه با توزیع lognormal به همراه افت مسیر در کانال بی سیم، تداخل هم کانال به صورت مجموع چند سیگنال با توزیع lognormal مدل می شود. از طرفی، مشخصات آماری جمع چند توزیع lognormal به صو...

2008
XUE LI Zhiqiang Wu

Xue Li. M.S. Egr Department of Electrical Engineering, Wright State University, 2008. A Novel Accurate Approximation Method of Lognormal Sum Random Variables Sums of lognormal random variables occur in many problems in wireless communications due to large-scale signal shadowing from multiple transmitters. With the emerging of cognitive radio technology, accurate analysis of interferences from m...

2016
L. Clerkin D. Kirk M. Manera O. Lahav F. Abdalla A. Amara D. Bacon C. Chang E. Gaztañaga A. Hawken B. Jain B. Joachimi V. Vikram T. Abbott S. Allam R. Armstrong A. Benoit-Lévy G. M. Bernstein R. A. Bernstein E. Bertin D. Brooks D. L. Burke A. Carnero Rosell M. Carrasco Kind M. Crocce C. E. Cunha C. B. D’Andrea L. N. da Costa S. Desai H. T. Diehl J. P. Dietrich T. F. Eifler A. E. Evrard B. Flaugher P. Fosalba J. Frieman D. W. Gerdes D. Gruen R. A. Gruendl G. Gutierrez K. Honscheid D. J. James S. Kent K. Kuehn N. Kuropatkin M. Lima P. Melchior R. Miquel B. Nord A. A. Plazas A. K. Romer A. Roodman E. Sanchez M. Schubnell I. Sevilla-Noarbe R. C. Smith M. Soares-Santos F. Sobreira E. Suchyta M. E. C. Swanson G. Tarle A. R. Walker

It is well known that the probability distribution function (PDF) of galaxy density contrast is approximately lognormal; whether the PDF of mass fluctuations derived from weak lensing convergence (κWL) is lognormal is less well established. We derive PDFs of the galaxy and projected matter density distributions via the Counts in Cells (CiC) method. We use maps of galaxies and weak lensing conve...

Journal: :Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie 1989

Journal: :Proceedings of the American Mathematical Society 1994

2017
Wang Hao Wang Shaoping Mileta M. Tomovic

Directing to the high cost of computer simulation optimization problem, Kriging surrogate model is widely used to decrease the computation time. Since the sequential Kriging optimization is time consuming, this article extends the expected improvement and put forwards a modified sequential Kriging optimization (MSKO). This method changes the twice optimization problem into once by adding more t...

2005
Ravipim Chaveesuk Alice E. Smith A. E. Smith

Sensitivity analysis of capital investments can be effectively carried out by employing a metamodel approach and experimental designs. Although polynomial regression metamodels are popular and straightforward, they do not consider spatial relationships among the data. Dual kriging is an estimation technique that allows the incorporation of spatial correlation into the interpolation or estimatio...

2008
JON OLAV SKØIEN GERARD B. M. HEUVELINK EDZER J. PEBESMA E. J. PEBESMA

ABSTRACT Decision makers will in an emergency situation often be interested in predictions of harmful environmental variables relative to a certain threshold. We are therefore examining the robustness of different methods which are supposed to give unbiased estimates relative to such a threshold, both for point predictions and areal averages. We are also interested in exceedance probabilities. ...

2017
James Alderman Benjamin R. Curtis Oriol Farràs Keith M. Martin Jordi Ribes-González

Kriging is a spatial interpolation algorithm which provides the best unbiased linear prediction of an observed phenomena by taking a weighted average of samples within a neighbourhood. It is widely used in areas such as geo-statistics where, for example, it may be used to predict the quality of mineral deposits in a location based on previous sample measurements. Kriging has been identified as ...

2017
Ling Huang Hongping Zhang Peiliang Xu Jianghui Geng Cheng Wang Jingnan Liu

Ionospheric delay effect is a critical issue that limits the accuracy of precise Global Navigation Satellite System (GNSS) positioning and navigation for single-frequency users, especially in mid- and low-latitude regions where variations in the ionosphere are larger. Kriging spatial interpolation techniques have been recently introduced to model the spatial correlation and variability of ionos...

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