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Gaussian function
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31	Nonlinear directed acyclic structure learning with weakly additive noise models Peter Spirtes Arthur Gretton Robert E. Tillman Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2009-11-08 23:50:48 Statistics Analysis Data Statistical models Multivariate statistics Signal processing Data analysis Independent component analysis Time series analysis Additive white Gaussian noise Gaussian function Positive-definite kernel
32	Perception, 2002, volume 31, pages 1211 ^ 1219 DOI:p3254 Blur discrimination and its relation to blur-mediated depth perception Add to Reading List Source URL: www.georgemather.com Language: English - Date: 2013-05-14 10:25:32 Science of photography Geometrical optics Vision Image processing Gaussian blur Gaussian function Blur Depth perception Depth of field Focus
33	Spread-Spectrum Multiple-Access Performance of Orthogonal Codes: Linear Receivers PER K. ENGE, MEMBER, IEEE, AND Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2003-07-08 15:54:30 Data transmission Signal processing Central limit theorem Additive white Gaussian noise Gaussian function Phase-shift keying Discrete Fourier transform KarhunenLove theorem Kalman filter
34	9. Gaussian random sequences We start with recalling of the definition for Gaussian random variable which is completely defined by a density f (x) of its distribution function F (x): (x−m)2 1 Add to Reading List Source URL: www.eng.tau.ac.il Language: English - Date: 2002-03-14 04:43:13
35	Gaussian Process-based Feature Selection for Wavelet Parameters: Predicting Acute Hypotensive Episodes from Physiological Signals Franck Dernoncourt, Kalyan Veeramachaneni, Una-May O’Reilly MIT CSAIL ALFA Cambridge, MA Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2015-05-07 20:17:34 Signal processing Functional analysis Time series analysis Timefrequency analysis Wavelet Numerical analysis Continuous wavelet transform Gaussian process Continuous wavelet Kernel Window function
36	Yang_Bo_Scientific_Report Add to Reading List Source URL: fellowship.ercim.eu Language: English - Date: 2013-06-25 06:28:23 Orthogonal polynomials Computer vision Hermite polynomials Polynomials Image moment Gaussian function Charles Hermite Hermite Invariant
37	HW #2 (221B), due Feb 2, 4pm 1. Use the solution for ψ(x) from the Lippmann–Schwinger equation in the case of the one-dimentional delta function potential you studied in HW #1. Form a Gaussian wave packet of the solut Add to Reading List Source URL: hitoshi.berkeley.edu Language: English - Date: 2014-01-31 18:27:00
38	Inverse Kernels for Fast Spatial Deconvolution Li Xu† † Xin Tao‡ Add to Reading List Source URL: www.cse.cuhk.edu.hk Language: English - Date: 2014-09-16 06:53:37 Image processing Signal processing Gaussian function Feature detection Estimation theory Deconvolution Wiener deconvolution Convolution Deblurring Kernel Gaussian blur Gaussian filter
39	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 Add to Reading List Source URL: www.connellybarnes.com Language: English - Date: 2015-09-03 19:44:00 Mathematical analysis Mathematics Special functions Fourier analysis Exponentials Gaussian function Periodic function Integral transform Sine Fourier series
40	GAUSSIAN FIELDS Notes for Lectures Ofer Zeitouni Department of Mathematics Weizmann Institute, Rehovot 76100, Israel and Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English Stochastic processes Algebra of random variables Hilbert space Estimation theory KarhunenLove theorem Signal processing Gaussian free field Multivariate random variable Reproducing kernel Hilbert space Covariance Normal distribution Gaussian function