Academic literature on the topic 'Uniform sampling'

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Journal articles on the topic "Uniform sampling"

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Kayibi, K. K., Muhammad Ali Khan, and S. Pirzada. "Uniform sampling ofk-hypertournaments." Linear and Multilinear Algebra 61, no. 1 (2013): 123–38. http://dx.doi.org/10.1080/03081087.2012.664771.

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Chen, Yibin, Jiaxi Chen, and Wei Wang. "Uniform Sampling Table Method and Its Applications: Establishment of a Uniform Sampling Method." Journal of AOAC INTERNATIONAL 96, no. 6 (2013): 1482–86. http://dx.doi.org/10.5740/jaoacint.12-156.

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Abstract A novel uniform sampling method is proposed in this paper. According to the requirements of uniform sampling, we propose the properties that must be met by analyzing the distribution of samples. Based on this, the proposed uniform sampling method is demonstrated and evaluated strictly by mathematical means such as inference. The uniform sampling tables with respect to Cn(t2) and Cn(t3) are established. Furthermore, a one-dimension uniform sampling method and a multidimension method are proposed. The proposed novel uniform sampling method, which is guided by uniform design theory, enjo
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Henzinger, Monika R., Allan Heydon, Michael Mitzenmacher, and Marc Najork. "On near-uniform URL sampling." Computer Networks 33, no. 1-6 (2000): 295–308. http://dx.doi.org/10.1016/s1389-1286(00)00055-4.

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Lacaze, B. "Matched shapes for uniform sampling." Statistics & Probability Letters 70, no. 2 (2004): 127–35. http://dx.doi.org/10.1016/j.spl.2004.06.002.

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Li, Xin Min. "Uniform Bounds for Sampling Expansions." Journal of Approximation Theory 93, no. 1 (1998): 100–113. http://dx.doi.org/10.1006/jath.1996.3090.

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Chen, Yibin, Jiaxi Chen, Xuan Chen, Min Wang, and Wei Wang. "Uniform Sampling Table Method and its Applications II—Evaluating the Uniform Sampling by Experiment." Journal of AOAC INTERNATIONAL 98, no. 5 (2015): 1455–61. http://dx.doi.org/10.5740/jaoacint.13-265.

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Abstract A new method of uniform sampling is evaluated in this paper. The items and indexes were adopted to evaluate the rationality of the uniform sampling. The evaluation items included convenience of operation, uniformity of sampling site distribution, and accuracy and precision of measured results. The evaluation indexes included operational complexity, occupation rate of sampling site in a row and column, relative accuracy of pill weight, and relative deviation of pill weight. They were obtained from three kinds of drugs with different shape and size by four kinds of sampling methods. Gra
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Baggenstoss, Paul M. "Uniform Manifold Sampling (UMS): Sampling the Maximum Entropy PDF." IEEE Transactions on Signal Processing 65, no. 9 (2017): 2455–70. http://dx.doi.org/10.1109/tsp.2017.2659645.

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Alipour, Mahmoud, and Seyed Mohammad Reza Hashemi Gholpayeghani. "Real-time non-uniform EEG sampling." Biomedical Signal Processing and Control 70 (September 2021): 102961. http://dx.doi.org/10.1016/j.bspc.2021.102961.

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Richter, Peter C. "Almost uniform sampling via quantum walks." New Journal of Physics 9, no. 3 (2007): 72. http://dx.doi.org/10.1088/1367-2630/9/3/072.

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Brasunas, John C., and G. Mark Cushman. "Uniform time-sampling Fourier transform spectroscopy." Applied Optics 36, no. 10 (1997): 2206. http://dx.doi.org/10.1364/ao.36.002206.

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Dissertations / Theses on the topic "Uniform sampling"

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khorvash, Massih. "On uniform sampling of cliques." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/13923.

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The problem that we are addressing in this thesis is the problem of sampling uniformly the cliques of a target size k of any given graph. As a natural approach for solving this problem, we used the already available state-of-the-art heuristic MAX-CLIQUE solvers. The heuristic MAX-CLIQUE algorithms, which we used for this task, have k-CLIQUE solvers as their subroutines. This thesis therefore examines how uniformly some of the state-of-the-art stochastic local search MAX-CLIQUE algorithms sample target cliques of graphs, and suggests various methods to improve their sampling performance. We als
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Luo, Chenchi. "Non-uniform sampling: algorithms and architectures." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45873.

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Modern signal processing applications emerging in telecommunication and instrumentation industries have placed an increasing demand for ADCs with higher speed and resolution. The most fundamental challenge in such a progress lies at the heart of the classic signal processing: the Shannon-Nyquist sampling theorem which stated that when sampled uniformly, there is no way to increase the upper frequency in the signal spectrum and still unambiguously represent the signal except by raising the sampling rate. This thesis is dedicated to the exploration of the ways to break through the Shannon-Nyquis
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Legg, Jonathan Andrew. "Synthetic aperture radar using non-uniform sampling." Title page, contents and abstract only, 1997. http://web4.library.adelaide.edu.au/theses/09PH/09phl513.pdf.

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Eng, Frida. "Non-Uniform Sampling in Statistical Signal Processing." Doctoral thesis, Linköping : Department of Electrical Engineering, Linköpings universitet, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8480.

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Monemizadeh, Morteza [Verfasser]. "Non-uniform Sampling in Clustering and Streaming / Morteza Monemizadeh." Dortmund : Universitätsbibliothek Technische Universität Dortmund, 2011. http://d-nb.info/101156971X/34.

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Khan, Mohammad Samir. "Strategies for non-uniform rate sampling in digital control theory." Thesis, Loughborough University, 2010. https://dspace.lboro.ac.uk/2134/6321.

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This thesis is about digital control theory and presents an account of methods for enabling and analysing intentional non-uniform sampling in discrete compensators. Most conventional control algorithms cause numerical problems where data is collected at sampling rates that are substantially higher than the dynamics of the equivalent continuous-time operation that is being implemented. This is of relevant interest in applications of digital control, in which high sample rates are routinely dictated by the system stability requirements rather than the signal processing needs. Considerable recent
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Hörmann, Wolfgang, and Josef Leydold. "Sampling from Linear Multivariate Densities." WU Vienna University of Economics and Business, 2009. http://epub.wu.ac.at/3192/1/Report111.pdf.

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It is well known that the generation of random vectors with non-independent components is difficult. Nevertheless, we propose a new and very simple generation algorithm for multivariate linear densities over point-symmetric domains. Among other applications it can be used to design a simple decomposition-rejection algorithm for multivariate concave distributions.<br>Series: Research Report Series / Department of Statistics and Mathematics
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Perez, Miguel E. M. Eng Massachusetts Institute of Technology. "A hardware platform to test analog-to-information conversion and non-uniform sampling." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/85482.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 121-123).<br>The Nyquist-Shannon sampling theorem tells us that in order to fully recover a band-limited signal previously converted to discrete data points, said signal must have been sampled at a frequency greater than twice its bandwidth. This theorem puts a burden on circuits like ADCs, in the sense that the higher the bandwidth of a signal, the faster the ADC must be by a factor of at
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Wellens, Jake(Jake Lee). "Assorted results in boolean function complexity, uniform sampling and clique partitions of graphs." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/126937.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mathematics, May, 2020<br>Cataloged from the official PDF of thesis.<br>Includes bibliographical references (pages 107-112).<br>This thesis consists of three disparate parts. In the first, we generalize and extend recent ideas of Chiarelli, Hatami and Saks to obtain new bounds on the number of relevant variables for a boolean function in terms of its degree, its sensitivity, and its certificate and decision tree complexities, and we also sharpen the best-known polynomial relationships between some of these complexity measures
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Leydold, Josef. "Automatic Sampling with the Ratio-of-uniforms Method." Department of Statistics and Mathematics, Abt. f. Angewandte Statistik u. Datenverarbeitung, WU Vienna University of Economics and Business, 1999. http://epub.wu.ac.at/84/1/document.pdf.

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Applying the ratio-of-uniforms method for generating random variates results in very efficient, fast and easy to implement algorithms. However parameters for every particular type of density must be precalculated analytically. In this paper we show, that the ratio-of-uniforms method is also useful for the design of a black-box algorithm suitable for a large class of distributions, including all with log-concave densities. Using polygonal envelopes and squeezes results in an algorithm that is extremely fast. In opposition to any other ratio-of-uniforms algorithm the expected number of uniform r
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Books on the topic "Uniform sampling"

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Jerrum, Mark. Uniform sampling modulo a group of symmetries using Markov chain simulation. LFCS, Dept. of Computer Science, University of Edinburgh, 1993.

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Dembski, William A. Chaos, uniform probability, and weak convergence. 1988.

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Skates, Steven James. Laplacian and uniform expansions with applications to multidimensional sampling. 1987.

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Boudreau, Joseph F., and Eric S. Swanson. Monte Carlo methods. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0007.

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Monte Carlo methods are those designed to obtain numerical answers with the use of random numbers . This chapter discusses random engines, which provide a pseudo-random pattern of bits, and their use in for sampling a variety of nonuniform distributions, for both continuous and discrete variables. A wide selection of uniform and nonuniform variate generators from the C++ standard library are reviewed, and common techniques for generating custom nonuniform variates are discussed. The chapter presents the uses of Monte Carlo to evaluate integrals, particularly multidimensional integrals, and the
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Book chapters on the topic "Uniform sampling"

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Devroye, Luc. "Random Sampling." In Non-Uniform Random Variate Generation. Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4613-8643-8_12.

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Manasse, Mark S. "Uniform Sampling after Alta Vista." In On The Efficient Determination of Most Near Neighbors. Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-031-02281-4_4.

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Manasse, Mark S. "Uniform Sampling after Alta Vista." In On the Efficient Determination of Most Near Neighbors. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-031-02296-8_4.

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Dreyer, Simon, Antoine Genitrini, and Mehdi Naima. "Optimal Uniform Shortest Path Sampling." In Lecture Notes in Computer Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2845-2_11.

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Hall, Cyrus, and Antonio Carzaniga. "Uniform Sampling for Directed P2P Networks." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03869-3_49.

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Gröchenig, Karlheinz. "Non-Uniform Sampling in Higher Dimensions: From Trigonometric Polynomials to Bandlimited Functions." In Modern Sampling Theory. Birkhäuser Boston, 2001. http://dx.doi.org/10.1007/978-1-4612-0143-4_7.

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Hyberts, Sven G., Haribabu Arthanari, and Gerhard Wagner. "Applications of Non-Uniform Sampling and Processing." In Topics in Current Chemistry. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/128_2011_187.

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Posso Murillo, Santiago, Oscar Skean, and Luis G. Sanchez Giraldo. "Non-uniform Sampling-Based Breast Cancer Classification." In Machine Learning in Medical Imaging. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45676-3_34.

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Pesant, Gilles, Claude-Guy Quimper, and Hélène Verhaeghe. "Practically Uniform Solution Sampling in Constraint Programming." In Integration of Constraint Programming, Artificial Intelligence, and Operations Research. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08011-1_22.

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Achlioptas, Dimitris, Zayd S. Hammoudeh, and Panos Theodoropoulos. "Fast Sampling of Perfectly Uniform Satisfying Assignments." In Theory and Applications of Satisfiability Testing – SAT 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94144-8_9.

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Conference papers on the topic "Uniform sampling"

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Ananthraman, Ramachandran, and Alexandre Mauroy. "Dynamic Mode Decomposition with Non-uniform Sampling." In 2024 IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10886428.

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Lesnikov, Vladislav, Alexander Metelyov, Tatiana Naumovich, and Alexander Chastikov. "Representation of Multichannel Multifrequency Sub-Nyquist Sampling as Periodic Non-Uniform Sampling." In 2025 27th International Conference on Digital Signal Processing and its Applications (DSPA). IEEE, 2025. https://doi.org/10.1109/dspa64310.2025.10977900.

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Signell, S. "Jittered uniform sampling - examples." In 2005 IEEE International Symposium on Circuits and Systems. IEEE, 2005. http://dx.doi.org/10.1109/iscas.2005.1464756.

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Dien, Matthieu, and Martin Pépin. "Uniform SAmplINg with BOLTZmann." In 2023 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). IEEE, 2023. http://dx.doi.org/10.1109/synasc61333.2023.00020.

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Lu, Jianguo, Hao Wang, and Dingding Li. "Uniform Random Sampling Not Recommended." In Companion of the The Web Conference 2018. ACM Press, 2018. http://dx.doi.org/10.1145/3184558.3186240.

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Cohen, Michael B., Yin Tat Lee, Cameron Musco, Christopher Musco, Richard Peng, and Aaron Sidford. "Uniform Sampling for Matrix Approximation." In ITCS'15: Innovations in Theoretical Computer Science. ACM, 2015. http://dx.doi.org/10.1145/2688073.2688113.

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Beyrouthy, Taha, Laurent Fesquet, and Robin Rolland. "Data sampling and processing: Uniform vs. non-uniform schemes." In 2015 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP). IEEE, 2015. http://dx.doi.org/10.1109/ebccsp.2015.7300665.

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Ben-Romdhane, M., C. Rebai, A. Ghazel, P. Desgeys, and P. Loumeau. "Non-uniform sampling schemes for IF sampling radio receiver." In International Conference on Design and Test of Integrated Systems in Nanoscale Technology, 2006. DTIS 2006. IEEE, 2006. http://dx.doi.org/10.1109/dtis.2006.1708729.

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Bechir, Dadi Mohamed, and Bouallegue Ridha. "Non-uniform Sampling Schemes for RF Bandpass Sampling Receiver." In 2009 International Conference on Signal Processing Systems. IEEE, 2009. http://dx.doi.org/10.1109/icsps.2009.206.

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Dudacek, Karel. "Non-uniform sampling using synchronised ADCs." In 2019 XXVII International Conference on Information, Communication and Automation Technologies (ICAT). IEEE, 2019. http://dx.doi.org/10.1109/icat47117.2019.8938958.

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Reports on the topic "Uniform sampling"

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Devaney, J. Uniform versus random sampling in physical calculations: Monte Carlo. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/5291731.

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Dupuis, Paul, and Hui Wang. Adaptive Importance Sampling for Uniformly Recurrent Markov Chains. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada461913.

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McCleney, Amy, and Terry Grimley. PR-015-17604-R02 Static Mixer Assessment Laboratory Testing. Pipeline Research Council International, Inc. (PRCI), 2020. http://dx.doi.org/10.55274/r0011771.

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Static mixers are nonmoving mixing devices that allow for the inline continuous mixing of fluids within a pipeline. Liquid samples are typically extracted downstream of the mixer to evaluate the composition of the fluid. However, the ability of mixers to provide a uniformly mixed sample and the acceptable distances at which this sample can be taken from the pipe for this composition evaluation are currently unknown. A testing effort was initiated to determine the effectiveness of two different static mixer designs, as well as sampling locations, by flowing known quantities of oil and water pas
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Casper, Gary, Stefanie Nadeau, and Thomas Parr. Acoustic amphibian monitoring, 2019 data summary: Pictured Rocks National Lakeshore. National Park Service, 2022. http://dx.doi.org/10.36967/2295509.

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Amphibians are a Vital Sign indicator for monitoring long-term ecosystem health in seven national park units that comprise the Great Lakes Network. We present here the results for 2019 amphibian monitoring at Pictured Rocks National Lakeshore (PIRO). Appendices contain tabular summaries for six years of cumulative results. The National Park Service Great Lakes Inventory and Monitoring Network established 10 permanent acoustic amphibian monitoring sites at PIRO in 2013. Acoustic samples are collected by placing automated recorders with omnidirectional stereo microphones at each of the 10 sampli
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Sarker, Abdur Razzaque, and Kashfi Rayan. Trends And Inequalities Of Childhood Underweight In Bangladesh: A Decomposition Approach. Bangladesh Institute of Development Studies, 2024. https://doi.org/10.57138/ezzy1359.

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Childhood underweight is a consistent public health problem globally. About 12.6 per cent of the total under-five children (85.4 million) were underweight in 2020, while half of the underweight burden (42 million) belonged to the Southeast Asian Region. Being underweight is one of the major risk factors for early neonatal mortality and morbidity in many developing countries. Although the global trend of underweight children has decreased over time, such progress is not uniformly distributed among resource-poor settings. This study investigates the nationwide trend of the prevalence of childhoo
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