Fourier analysis

Results: 3041



#Item
971Building Wavelet Histograms on Large Data in MapReduce Jeffrey Jestes1 1 Ke Yi2 2

Building Wavelet Histograms on Large Data in MapReduce Jeffrey Jestes1 1 Ke Yi2 2

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Source URL: vldb.org

Language: English - Date: 2011-10-25 22:17:02
972Communication-Avoiding Algorithms and Fast Matrix Multiplication Grey Ballard based on joint work with Austin Benson, James Demmel, Benjamin Lipshitz, Oded Schwartz, and many others

Communication-Avoiding Algorithms and Fast Matrix Multiplication Grey Ballard based on joint work with Austin Benson, James Demmel, Benjamin Lipshitz, Oded Schwartz, and many others

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Source URL: www.sandia.gov

Language: English - Date: 2014-10-01 14:30:31
973Cambridge University Press[removed]8 - Practical Signal Processing Mark Owen Index More information

Cambridge University Press[removed]8 - Practical Signal Processing Mark Owen Index More information

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Source URL: assets.cambridge.org

Language: English - Date: 2007-05-27 20:00:53
9741 COURSE OUTLINE[removed]Engineering Physics 3W04 - Term II

1 COURSE OUTLINE[removed]Engineering Physics 3W04 - Term II "Acquisition and Analysis of Experimental Information" ****NOTE: This information applies to term II only and supercedes previous information.**** PREREQUISIT

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Source URL: www.nuceng.ca

Language: English - Date: 2015-01-10 23:34:18
975Ab Initio Phasing by Dual-Space Direct Methods Charles M. Weeks1, George M. Sheldrick2, Russ Miller1,3 , Isabel Usón2 and Herbert A. Hauptman1 1Hauptman-Woodward Medical Research Institute, Inc.  73 High Street, Buffalo

Ab Initio Phasing by Dual-Space Direct Methods Charles M. Weeks1, George M. Sheldrick2, Russ Miller1,3 , Isabel Usón2 and Herbert A. Hauptman1 1Hauptman-Woodward Medical Research Institute, Inc. 73 High Street, Buffalo

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Source URL: www.hwi.buffalo.edu

Language: English - Date: 2008-04-11 10:13:31
976Spectral Representation Theorem: I • |Fourier transform|2 of {gt} decomposes energy across f ’s (this is the essence of Parseval’s theorem) • goal: decompose variance of {Xt} across frequencies (assume E{Xt} = 0,

Spectral Representation Theorem: I • |Fourier transform|2 of {gt} decomposes energy across f ’s (this is the essence of Parseval’s theorem) • goal: decompose variance of {Xt} across frequencies (assume E{Xt} = 0,

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Source URL: faculty.washington.edu

Language: English - Date: 2015-04-08 09:59:36
977S. Boyd  EE102 Table of Laplace Transforms Remember that we consider all functions (signals) as defined only on t ≥ 0.

S. Boyd EE102 Table of Laplace Transforms Remember that we consider all functions (signals) as defined only on t ≥ 0.

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Source URL: www.nuceng.ca

Language: English - Date: 2015-01-11 14:24:36
978Fast Convolution Michael Werman School of Computer Science and Engineering The Hebrew University of Jerusalem Jerusalem 91904, Israel [removed]

Fast Convolution Michael Werman School of Computer Science and Engineering The Hebrew University of Jerusalem Jerusalem 91904, Israel [removed]

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Source URL: wscg.zcu.cz

Language: English - Date: 2003-01-14 07:04:36
979Tiling Periodicity Yury Lifshits joint work with Juhani Karhum¨aki Steklov Institute of Mathematics, St.Petersburg, Russia [removed]

Tiling Periodicity Yury Lifshits joint work with Juhani Karhum¨aki Steklov Institute of Mathematics, St.Petersburg, Russia [removed]

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Source URL: yury.name

Language: English - Date: 2006-05-17 18:34:22
980Sample Optimal Fourier Sampling in Any Constant Dimension Piotr Indyk Michael Kapralov MIT IBM Watson

Sample Optimal Fourier Sampling in Any Constant Dimension Piotr Indyk Michael Kapralov MIT IBM Watson

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Source URL: groups.csail.mit.edu

Language: English - Date: 2014-10-21 13:58:29