Integral transform

Results: 777



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41GENERALIZATIONS OF FOURIER ANALYSIS, AND HOW TO APPLY THEM W.T. GOWERS 1. Introduction This year’s Colloquium Lectures are about an important theme in additive combinatorics. Additive combinatorics is a fairly recent b

GENERALIZATIONS OF FOURIER ANALYSIS, AND HOW TO APPLY THEM W.T. GOWERS 1. Introduction This year’s Colloquium Lectures are about an important theme in additive combinatorics. Additive combinatorics is a fairly recent b

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Source URL: gowers.files.wordpress.com

Language: English - Date: 2016-01-13 18:08:55
42Exploiting Probabilistic Independence for Permutations Jonathan Huang, Carlos Guestrin Stanford University Pittsburgh, Pennsylvania 15213

Exploiting Probabilistic Independence for Permutations Jonathan Huang, Carlos Guestrin Stanford University Pittsburgh, Pennsylvania 15213

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Source URL: select.cs.cmu.edu

Language: English - Date: 2009-08-13 03:47:06
43A Fourier-Mellin based Equalization Technique for Wideband Linear Time Varying Channels Manzil Zaheer, Anup K. Gogoi Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, INDIA ma

A Fourier-Mellin based Equalization Technique for Wideband Linear Time Varying Channels Manzil Zaheer, Anup K. Gogoi Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, INDIA ma

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Source URL: manzil.ml

Language: English - Date: 2016-01-03 02:26:15
44NUMERICAL APPROXIMATION OF THE MASSER-GRAMAIN CONSTANT TO FOUR DECIMAL DIGITS: δ = GUILLAUME MELQUIOND AND W. GEORG NOWAK AND PAUL ZIMMERMANN Abstract. We prove that the constant δ studied by Masser, Gramain,

NUMERICAL APPROXIMATION OF THE MASSER-GRAMAIN CONSTANT TO FOUR DECIMAL DIGITS: δ = GUILLAUME MELQUIOND AND W. GEORG NOWAK AND PAUL ZIMMERMANN Abstract. We prove that the constant δ studied by Masser, Gramain,

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Source URL: www.lri.fr

Language: English - Date: 2012-12-17 10:56:55
45Introduction to Time Series Analysis. LectureReview: Spectral density estimation, sample autocovariance. 2. The periodogram and sample autocovariance. 3. Asymptotics of the periodogram. 1

Introduction to Time Series Analysis. LectureReview: Spectral density estimation, sample autocovariance. 2. The periodogram and sample autocovariance. 3. Asymptotics of the periodogram. 1

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Source URL: www.stat.berkeley.edu

Language: English - Date: 2010-11-06 17:40:49
46OpenAtom: Scalable Ab-Initio Molecular Dynamics with Diverse Capability Nikhil Jain† , Eric Bohm† , Eric Mikida† , Subhasish Mandal§ , Minjung Kim§ , Prateek Jindal† , Qi Li? , Sohrab Ismail-Beigi§ , Glenn J.

OpenAtom: Scalable Ab-Initio Molecular Dynamics with Diverse Capability Nikhil Jain† , Eric Bohm† , Eric Mikida† , Subhasish Mandal§ , Minjung Kim§ , Prateek Jindal† , Qi Li? , Sohrab Ismail-Beigi§ , Glenn J.

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Source URL: charm.cs.illinois.edu

Language: English - Date: 2016-03-06 18:26:24
47Lecture Notes: Ewald Summation Homer Reid April 10,

Lecture Notes: Ewald Summation Homer Reid April 10,

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Source URL: homerreid.dyndns.org

Language: English - Date: 2015-10-27 00:54:41
48A perceptual investigation of wavelet-based decomposition of f0 for text-to-speech synthesis Manuel Sam Ribeiro1 , Junichi Yamagishi12 , Robert A. J. Clark1 1 Centre for Speech Technology Research, University of Edinbur

A perceptual investigation of wavelet-based decomposition of f0 for text-to-speech synthesis Manuel Sam Ribeiro1 , Junichi Yamagishi12 , Robert A. J. Clark1 1 Centre for Speech Technology Research, University of Edinbur

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Source URL: www.cstr.ed.ac.uk

Language: English - Date: 2015-10-01 06:17:06
49A MULTI-LEVEL REPRESENTATION OF F0 USING THE CONTINUOUS WAVELET TRANSFORM AND THE DISCRETE COSINE TRANSFORM Manuel Sam Ribeiro, Robert A. J. Clark Centre for Speech Technology Research, University of Edinburgh, UK ABSTRA

A MULTI-LEVEL REPRESENTATION OF F0 USING THE CONTINUOUS WAVELET TRANSFORM AND THE DISCRETE COSINE TRANSFORM Manuel Sam Ribeiro, Robert A. J. Clark Centre for Speech Technology Research, University of Edinburgh, UK ABSTRA

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Source URL: www.cstr.ed.ac.uk

Language: English - Date: 2015-09-29 11:06:25
501 Derivation of Band-Limited Expressions Given a shader function f (x) and a band-limiting kernel k(x, w) where w describes the width of the kernel, we wish to determine the convolution function

1 Derivation of Band-Limited Expressions Given a shader function f (x) and a band-limiting kernel k(x, w) where w describes the width of the kernel, we wish to determine the convolution function

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Source URL: www.connellybarnes.com

Language: English - Date: 2015-09-03 19:44:00