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Jul 22, 2019
07/19

by
Patel, Jagdish K

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ix, 337 p. ; 24 cm. --

Topic: Gaussian distribution

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Sep 20, 2016
09/16

by
Zinger, A. A.

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Topic: Gaussian distribution

Naval Postgraduate School

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162

Dec 7, 2012
12/12

by
Jayachandran, Toke.;Larson, Harold J., 1934-

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Project report for period October 1984 - December 1985--Cover.

Topics: GAUSSIAN., MARKOV PROCESSES.

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Oct 7, 2015
10/15

by
Jayachandran, Toke.;Larson, Harold J., 1934-

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Project report for period October 1984 - December 1985--Cover.

Topic: GAUSSIAN.,MARKOV PROCESSES.

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7.0

Jul 1, 2015
07/15

by
Hida, Takeyuki, 1927-

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Includes bibliographical references (p. 486-506) and index

Topics: Gaussian processes, Wiener integrals

University of Illinois Urbana-Champaign

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177

Mar 20, 2013
03/13

by
Gregory, Robert Todd; University of Illinois at Urbana-Champaign. University Research Board; University of Illinois at Urbana-Champaign. Graduate College Digital Computer Laboratory

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"October 20, 1954"

Topic: Gaussian quadrature formulas

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166

Mar 28, 2013
03/13

by
Eisenhauer, Charles; Simmons, George L.; Spencer, Lewis V.

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Topic: Gaussian quadrature formulas.

"NPS52-82-010."

Topics: GAUSSIAN PROCESSES., MARKOV PROCESSES.

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609

Sep 9, 2008
09/08

by
Welsch, Roy E

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Bibliography: leaf 18

Topics: Gaussian processes, Convergence

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Mar 28, 2017
03/17

by
Alpert, Bradley K.

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Topic: Gaussian quadrature formulas

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Oct 8, 2015
10/15

by
MacLennan, Bruce J.

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"NPS52-82-010."

Topic: GAUSSIAN PROCESSES.,MARKOV PROCESSES.

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288

Jul 21, 2014
07/14

by
Stroud, A. H; Secrest, Don, joint author

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Bibliography: p. 94-98

Topics: Gaussian quadrature formulas, Mathematics

Bibliography: p. 17

Topics: Elimination, Gaussian processes

Bell System Technical Journal, 49: 8. October 1970 pp 1705-1712. The Capacity of the Gaussian Channel with Feedback. (Ebert, P.M.)

Topics: capacity, gaussian, feedback, noise, finite, linear, theorem, channel, signal, normalized, gaussian...

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Jun 18, 2013
06/13

by
Barnes, J. A. (James Allen), 1933-; Sargent, H. H.; Tryon P. V.

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Topics: Sunspots--Mathematical models., Gaussian processes.

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Nov 8, 2016
11/16

by
Rosenblatt, Joan Raup

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Topics: Gaussian distribution, Hydrology, Statistical analysis

From the bitsavers.org collection, a scanned-in computer-related document. mit :: ai :: aim :: AIM-840

Topics: gaussian, curvature, silhouette, shapes, codon, gauss, flexional, koenderink, surface, inferring,...

From the bitsavers.org collection, a scanned-in computer-related document. mit :: ai :: aim :: AIM-740

Topics: gaussian, surface, extended, sphere, curvature, image, horn, object, sin, extended gaussian,...

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601

Jul 23, 2012
07/12

by
Gurmeet Kaur, Rupinder Kaur

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The process of removing noise from the original image is still a demanding problem for researchers. There have been several algorithms and each has its assumptions, merits, and demerits. The prime focus of this paper is related to the pre processing of an image before it can be used in applications. The pre processing is done by de-noising of images. In order to achieve these de-noising algorithms, filtering approach and wavelet based approach are used and performs their comparative study....

Topics: Gaussian noise, Salt & Pepper noise, Speckle noise, Average filter, Wiener filter, Gaussian...

Breast cancer in females is the most common cancer diseases and leading cause of death. In the recent years, Computer Aided Diagnosis (CAD) is very useful for detection of breast cancer. Mammography can be used as an efficient tool for breast cancer diagnosis. A computer based diagnosis and classification system can reduce unnecessary biopsy. This paper presents the tumor detection algorithm from mammogram, this study shows the outcome of applying image processing morphological operation on...

Topics: Region of Interest, Difference of Gaussian, Gaussian, Center Symmetric Local Binary Pattern, SVM...

Breast cancer in females is the most common cancer diseases and leading cause of death. In the recent years, Computer Aided Diagnosis (CAD) is very useful for detection of breast cancer. Mammography can be used as an efficient tool for breast cancer diagnosis. A computer based diagnosis and classification system can reduce unnecessary biopsy. This paper presents the tumor detection algorithm from mammogram, this study shows the outcome of applying image processing morphological operation on...

Topics: Region of Interest, Difference of Gaussian, Gaussian, Center Symmetric Local Binary Pattern, SVM...

This thesis presents a parallel processor band acoustic ray tracing algorithm for use in predicting multipath arrival times and amplitudes, for use in ocean acoustic tomography experiments. The Runge-Kutta-Fehlberg numerical integration method was chosen, out of three other methods, to numerically solve the ray equations. Cubic splines were used to interpolate the sound speed profile and bottom bathymetry data. The method of Gaussian beam tracing was used to compute the multipath amplitudes at...

Topics: Dissertations, Academic, Transputers, Numerical integration, Gaussian beams., Acoustic Tomography,...

Scale-Space Theories in Computer Vision: Second International Conference, Scale-Space’99 Corfu, Greece, September 26–27, 1999 Proceedings Author: Mads Nielsen, Peter Johansen, Ole Fogh Olsen, Joachim Weickert Published by Springer Berlin Heidelberg ISBN: 978-3-540-66498-7 DOI: 10.1007/3-540-48236-9 Table of Contents: Blur and Disorder Applications of Locally Orderless Images Scale Space Technique for Word Segmentation in Handwritten Documents Fast Geodesic Active Contours Morphing Active...

Topics: Computer vision, Geometry, Gaussian processes, Image processing

Title from cover

Topics: GAUSSIAN NOISE., POWER SPECTRA., ACOUSTIC DATA.

Gaussian Markov random fields (GMRFs) are an important example of MRFs with many applications, particularly because GMRFs are known to provide effective approximations to any MRF. Despite their relative computational simplicity, inference in GMRFs using maximum likelihood (ML) is not always feasible. Therefore, this paper compares the inference quality using the pseudolikelihood, a well-known computational shortcut to full ML, and in addition the generalized lambda distribution is simulated to...

Topics: Gaussian Markov Random Fields, Pseudolikelihood, Robustness

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422

Sep 8, 2009
09/09

by
Dialectica Radio Group

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This week on Dialectica: Producer/Host James Tanner presents the second in a two-part series on the history and relevance of quantitative finance. Part II explores how attempts by quantitative experts to address key financial problems – random price movement and risk correlation – eventually led to the widespread adoption of the Gaussian Copula Formula in finance, which in turn contributed to the current economic crisis.

Topics: lbj, dialectica, kvrx, gaussian, copula, economic, crisis

Journal of Research of the National Institute of Standards and Technology

Topics: time series, Brownian walks, floods, Gaussian noises

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55

Oct 5, 2015
10/15

by
Hippenstiel, Ralph Dieter, 1941-

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Title from cover

Topic: GAUSSIAN NOISE.,POWER SPECTRA.,ACOUSTIC DATA.

Turbo Coding is used extensively in 3G & 4G mobile. Turbo coding such as convolutional turbo coding are used in a wireless metropolitan network standard. In this paper performance analysis of turbo coded OFDM subjected to different channels, we are concentrating on evalution of performance of Turbo Coded Orthogonal Frequency Division Multiplexing for channels such as Additive White Gaussian Noise, Rayleigh, Rician fading channels.

Topics: OFDM, Additive White Gaussian Noise, BER

The use of higher-order statistics provides insight into signals which is not always available at lower orders. Additionally, Gaussian-distributed signals have the interesting characteristic of disappearing at higher orders. Because so much of the noise and inter- ference environment is Gaussian-distributed, higher-order statistics thus offer the promise of an additional method of noise reduction and interference mitigation. As communica- tions signals become more and more complex, any...

Topics: Signal processing, Noise control, Gaussian distribution

"Supported in part by contract U.S. AEC AT(11-1) 1469."

Topics: Functions, Orthogonal, Gaussian quadrature formulas, Chebyshev polynomials

Gaussian Markov random fields (GMRFs) are an important example of MRFs with many applications, particularly because GMRFs are known to provide effective approximations to any MRF. Despite their relative computational simplicity, inference in GMRFs using maximum likelihood (ML) is not always feasible. Therefore, this paper compares the inference quality using the pseudolikelihood, a well-known computational shortcut to full ML, and in addition the generalized lambda distribution is simulated to...

Topics: Gaussian Markov Random Fields, Pseudolikelihood, Robustness

Journal of Research of the National Institute of Standards and Technology

Topics: electron microscopy, incoherence, Gaussian beams, synthetic incoherence

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418

Oct 27, 2009
10/09

by
Jason Lachniet

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Gaussian elimination example

Topics: precalculus, linear algebra, augmented matrix, Gaussian elimination

Journal of Research of the National Bureau of Standards

Topics: Numerical integrations, abstract Gaussian quadrature methods

From the bitsavers.org collection, a scanned-in computer-related document. mit :: ai :: aim :: AIM-536

Topics: surface, gaussian, image, normals, images, convex, computations, representation, surfaces, shape,...

From the bitsavers.org collection, a scanned-in computer-related document. mit :: ai :: aim :: AIM-1599

Topics: vector, centers, rbf, gaussian, support, algorithm, function, classical, error, support vector,...

Bell System Technical Journal, 48: 7. September 1969 pp 2333-2358. Interchannel Interference Considerations in Angle-Modulated Systems. (Prabhu, V.K.; Enloe, L.H.)

Topics: interference, baseband, exp, interchannel, modulation, spectral, frequency, gaussian, density,...

Bell System Technical Journal, 60: 10. December 1981 pp 2307-2343. On the Performance of Phase-Shift-Keying Systems. (Prabhu, V.K.; Salz, J.)

Topics: exp, gaussian, isi, phase, dpsk, keying, error, cpsk, probability, ieee, phase recovery, gaussian...

Bell System Technical Journal, 45: 7. September 1966 pp 1071-1096. Simultaneously Orthogonal Expansion of Two Stationary Gaussian Processes- Examples. (Kadota, T.T.)

Topics: sin, exp, gaussian, orthogonal, eigenfunctions, solutions, eigenvalues, expansion, processes, tan,...

Bell System Technical Journal, 55: 3. March 1976 pp 343-346. A Note on the Capacity of the Band-Limited Gaussian Channel. (Wyner, A.D.)

Topics: gaussian, channel, capacity, decoder, code, bandwidth, signal, signals, shannon, slepian, system...

Recently, several techniques have been presented for blind source separation using linear or non-linear mixture models. The problem is to recover the original source signals without knowing apriori information about the mixture model. Accordingly, several statistic and information theory-based objective functions are used in literature to estimate the original signals without providing mixture model. Here, swarm intelligence played a major role to estimate the separating matrix. In our work, we...

Topics: Blind source separation, Artificial Bee Colony (ABC), Genetic Algorithm (GA), sub-Gaussian and...

Noratom Division Model NOR 5004 Flyer - Noise Generator 0-200 CPS - Edwin Industries Corp

Topics: cps, noise, amplitude, gaussian, generator, utilizing, distributed, output, bandwidth, frequency,...

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Nov 22, 2016
11/16

by
Iaset Journal

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The aim of this paper is to introduce and investigate a novel method for constructing multivariate lifetime distributions. The idea is based on the combined use of copula and mixtures. Both have been used on their own for constructing multivariate lifetime distributions, but with only moderate success. Our aim is to show that their joint use possesses some distinct advantages.

Topics: Bayesian Inference, Dependence, Frank’s Copula, Gaussian copula, Gompertz Distribution, Mixture

Journal of Research of the National Bureau of Standards

Topics: Gaussian process, random process, random variable, Rayleigh process

Journal of Research of the National Bureau of Standards

Topics: Analytical functions, approximation, Gaussian quadrature, integration, optimal quadrature,...

Journal of Research of the National Bureau of Standards

Topics: Block Gaussian elimination, graph, inversion, partitioning, sparse matrix, tree

The trimming scheme with a prefixed cutoff portion is known as a method of improving the robustness of statistical models such as multivariate Gaussian mixture models (MG-MMs) in small scale tests by alleviating the impacts of outliers. However, when this method is applied to real-world data, such as noisy speech processing, it is hard to know the optimal cut-off portion to remove the outliers and sometimes removes useful data samples as well. In this paper, we propose a new method based on...

Topics: Gaussian Mixture Models, K-means, Trimmed K-means, Speech Processing

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76

Oct 7, 2015
10/15

by
Cox, Lyle Ashton.;Taylor, C. F.;Burnham, R.;Coulter, R.;Smart, S.

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SLED FORTRAN implementation / C.F. Taylor--SLED PASCAL implementation / R. Burnham, R. Coulter, and S. Smart.

Topic: RANDOM VARIABLES.,PROBABILITIES.,GAUSSIAN PROCESSES.,TIME-SERIES ANALYSIS.

Mendeley Climate Change Library

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15

Jul 6, 2019
07/19

by
Debin Fang; Xiaoling Zhang; Qian Yu; Trenton Chen Jin; Luan Tian

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The fact that global warming will bring impact on immigration, agriculture and also generate human conflicts is becoming a focus in climate change topic and the forecasting of carbon dioxide emission has been attracting much attention. In this paper, we proposed an improved Gaussian processes regression method for carbon dioxide emission forecasting based on a modified PSO algorithm which can efficiently optimize the hyper parameters of covariance function in the Gaussian processes regression....

Topics: CO2 emission, Forecasting, Gaussian process regression, Particles swarm optimization