Analysis of Multiband Astronomical Images using Multiscale Tools
|
|
|
- Godwin Henry
- 5 years ago
- Views:
Transcription
1 Anaysis of Mutiband Astronomica Images using Mutiscae Toos A.Bijaoui A.Guennec Ch.Benoist & E.Seza Cassioée Laboratory Côte d Azur Observatory BP Nice Cedex 04 France
2 Outines Astronomica Imaging & Virtua Observatories Mutiband / Mutiwaveength images Needs of a mutiscae anaysis Fusion Image Anaysis of fusion image Pixe casses identification Mixing & Pure eements Casses maing Source searation 24th October 2005 Waveet Aications in Industria Processing 2
3 Today Astronomica Imaging Generaization of wide-fied CCD cameras Observation on the whoe sectra range Fiters # waveength and # width Sectro-imaging deveoments Consistent surveys with a arge diffusion Pieine re-rocessing softwares Instrumenta corrections Radiometrica transformation Geometrica registration 24th October 2005 Waveet Aications in Industria Processing 3
4 The Virtua Observatory Astronomica data centers Ex. Strasbourg data center Diffused information Cataogs reduced images artices Interconnection between stored data Anaysis software From des to bases Interoerabiity Dedicated software for anayzing the information 24th October 2005 Waveet Aications in Industria Processing 4
5 Anaysis of Mutiband Astronomica Images Many accessibe reevant surveys Soan Digita Sy Survey SDSS Canada France Hawaï Legacy Survey Hubbe Sace Teescoe images Puroses Consistent detection & measurements Pixe / object cassification The EIS/GOODS fied Use of 6 bands : U U B V R & I 2000x2000 sames 24th October 2005 Waveet Aications in Industria Processing 5
6 B Image 24th October 2005 Waveet Aications in Industria Processing 6
7 U-U-B-V-R-I Images 24th October 2005 Waveet Aications in Industria Processing 7
8 Fusion Image Sufficient statistics for co-addition x n =c n x nu mean standard deviation σ n y=σ c n x n / σ n 2 is a sufficient statistics for fusion Best signa to noise ratio combination Determination of the scaar factor c n Gobay on the image Variations due to coor Pixe / Pixe Chi2-square exression Raw chi-2 image Very noisy Needs of smoothing/denoising 24th October 2005 Waveet Aications in Industria Processing 8
9 Chi-2 image from PSF Smoothing Adated smoothing with the PSF PSF = stear rofie Imrovement of the star detection Systematic use for astronomica images PSF determination Needs to seect isoated stars Sace variations Chi-2 images from PSF smoothing Variations of the PSF / image 24th October 2005 Waveet Aications in Industria Processing 9
10 Chi-2 image from Denoising Aication of a discrete waveet transformation Redundant / Unredundant agorithms À trous agorithm Reduction of the coefficient vaues with a softening function Donoho s rue From a Bayesian aroach Generaization of the Wiener fitering / Gaussian mixture Direct or reguarized inversion Direct inversion unredundant transforms Orthogona rojection for the à trous Reguarized inversion Sensitivity to the bacground subtraction 24th October 2005 Waveet Aications in Industria Processing 10
11 24th October 2005 Waveet Aications in Industria Processing 11 Chi-2 image from restoration 1 If the PSFs are nown it is ossibe to do a deconvoution on the images Aication of Richarson-Lucy s agorithm With ] [ 1 V V W W = + W V =
12 24th October 2005 Waveet Aications in Industria Processing 12 Chi-2 image from restoration 2 Residue Reation with residue Significant residue > denoising Positivity constraint Fina smoothing with the same PSF V V r = ] [ 1 V r W W W + = +
13 Restored / Smoothed Image Noise estimation robem Noise excess at the first scae Sensitivity to the bacground estimation 24th October 2005 Waveet Aications in Industria Processing 13
14 Chi-2 images 24th October 2005 Waveet Aications in Industria Processing 14
15 The best Fusion image Raw B Image Restoration & PSF smoothing 24th October 2005 Waveet Aications in Industria Processing 15
16 Detection from the Fusion Image Aication of Sextractor Mutiscae detection Mutiband measurements from radia rofies Raw Chi-2 Denoised PSF smoothing Restored & smoothed Scae Waveet Sext th October 2005 Waveet Aications in Industria Processing 16
17 Coor Anaysis Probems with the cassica coor indices Negative / nu fuxes Coor noise vs magnitude Non additivity from comonents Use of ratios / weighted mean Estimation of a ositive image Use of the restored / smoothed images Ratio noise / weighted mean Additivity from comonents 24th October 2005 Waveet Aications in Industria Processing 17
18 Raw ratios Restoration & PSF smoothing B / weighted mean ratio 24th October 2005 Waveet Aications in Industria Processing 18
19 Mased anaysis The ratio noise deends on the intensity Mas comuted from this deendency The statistica quantities are comuted from this mas 24th October 2005 Waveet Aications in Industria Processing 19
20 K-means Cassification Iteration 10 seected casses The mas is aied from the estimations Threshoding Mas>0.5 Rejection of too far ixes Not enough casses 24th October 2005 Waveet Aications in Industria Processing 20
21 Sources from Casses A cass = sectra distribution A The ixe intensities as mixing: V = AX + N X are the sources : cass roortions Knowing V & A getting X : i-osed robem number of casses > number of images Use of a CLEAN-ie agorithm 24th October 2005 Waveet Aications in Industria Processing 21
22 Resuting Sources th October 2005 Waveet Aications in Industria Processing 22
23 Concusion Toos for the Virtua Observatory Detection imroved from the Fusion image Consistent measurements from many bands Pixe cassification from ratios Waveet restorations carry out avaiabe images Pixe cassification Source searation / Casses carries out a intermediate descrition 24th October 2005 Waveet Aications in Industria Processing 23
A novel Parameter Estimation method based on FRFT in Bistatic MIMO Radar System. Li Li1, a
6th Internationa Conference on Mechatronics Materias Biotechnoogy and Environment (ICMMBE 6 A nove Parameter Estimation method based on FRF in Bistatic MIMO Radar System i i a Information Engineering Coege
Haar Decomposition and Reconstruction Algorithms
Jim Lambers MAT 773 Fa Semester 018-19 Lecture 15 and 16 Notes These notes correspond to Sections 4.3 and 4.4 in the text. Haar Decomposition and Reconstruction Agorithms Decomposition Suppose we approximate
Study on Fusion Algorithm of Multi-source Image Based on Sensor and Computer Image Processing Technology
Sensors & Transducers 3 by IFSA http://www.sensorsporta.com Study on Fusion Agorithm of Muti-source Image Based on Sensor and Computer Image Processing Technoogy Yao NAN, Wang KAISHENG, 3 Yu JIN The Information
SHEARLET-BASED INVERSE HALFTONING
Journa of Theoretica and Appied Information Technoog 3 st March 3. Vo. 49 No.3 5-3 JATIT & LLS. A rights reserved. ISSN: 99-8645 www.atit.org E-ISSN: 87-395 SHEARLET-BASED INVERSE HALFTONING CHENGZHI DENG,
Short course A vademecum of statistical pattern recognition techniques with applications to image and video analysis. Agenda
Short course A vademecum of statistica attern recognition techniques with aications to image and video anaysis Lecture 3 Density estimation Massimo Piccardi University of Technoogy, Sydney, Austraia Massimo
Translation Microscopy (TRAM) for super-resolution imaging.
ransation Microscopy (RAM) for super-resoution imaging. Zhen Qiu* 1,,3, Rhodri S Wison* 1,3, Yuewei Liu 1,3, Aison Dun 1,3, Rebecca S Saeeb 1,3, Dongsheng Liu 4, Coin Ricman 1,3, Rory R Duncan 1,3,5, Weiping
Sparse Representations in Unions of Bases
330 IEEE TRANSACTIONS ON INFORMATION THEORY, VO 49, NO, DECEMBER 003 rates taen so high that further increasing them roduced no visibe changes in the figure As can be seen, the a;b obtained in that way
Analysis of Emerson s Multiple Model Interpolation Estimation Algorithms: The MIMO Case
Technica Report PC-04-00 Anaysis of Emerson s Mutipe Mode Interpoation Estimation Agorithms: The MIMO Case João P. Hespanha Dae E. Seborg University of Caifornia, Santa Barbara February 0, 004 Anaysis
A Brief Introduction to Markov Chains and Hidden Markov Models
A Brief Introduction to Markov Chains and Hidden Markov Modes Aen B MacKenzie Notes for December 1, 3, &8, 2015 Discrete-Time Markov Chains You may reca that when we first introduced random processes,
Classification of Multi-Frequency Polarimetric SAR Images Based on Multi-Linear Subspace Learning of Tensor Objects
Remote Sens. 2015, 7, 9253-9268; doi:10.3390/rs70709253 OPEN ACCESS remote sensing ISSN 2072-4292 www.mdpi.com/journa/remotesensing Artice Cassification of Muti-Frequency Poarimetric SAR Images Based on
An Algorithm for Pruning Redundant Modules in Min-Max Modular Network
An Agorithm for Pruning Redundant Modues in Min-Max Moduar Network Hui-Cheng Lian and Bao-Liang Lu Department of Computer Science and Engineering, Shanghai Jiao Tong University 1954 Hua Shan Rd., Shanghai
A proposed nonparametric mixture density estimation using B-spline functions
A proposed nonparametric mixture density estimation using B-spine functions Atizez Hadrich a,b, Mourad Zribi a, Afif Masmoudi b a Laboratoire d Informatique Signa et Image de a Côte d Opae (LISIC-EA 4491),
Reconstructions that Combine Cell Average Interpolation with Least Squares Fitting
App Math Inf Sci, No, 7-84 6) 7 Appied Mathematics & Information Sciences An Internationa Journa http://dxdoiorg/8576/amis/6 Reconstructions that Combine Ce Average Interpoation with Least Squares Fitting
Theory of Generalized k-difference Operator and Its Application in Number Theory
Internationa Journa of Mathematica Anaysis Vo. 9, 2015, no. 19, 955-964 HIKARI Ltd, www.m-hiari.com http://dx.doi.org/10.12988/ijma.2015.5389 Theory of Generaized -Difference Operator and Its Appication
Introduction to Simulation - Lecture 13. Convergence of Multistep Methods. Jacob White. Thanks to Deepak Ramaswamy, Michal Rewienski, and Karen Veroy
Introduction to Simuation - Lecture 13 Convergence of Mutistep Methods Jacob White Thans to Deepa Ramaswamy, Micha Rewiensi, and Karen Veroy Outine Sma Timestep issues for Mutistep Methods Loca truncation
Application of deconvolution to images from the EGRET gamma-ray telescope
Application of deconvolution to images from the EGRET gamma-ray telescope Symeon Charalabides, Andy Shearer, Ray Butler (National University of Ireland, Galway, Ireland) ABSTRACT The EGRET gamma-ray telescope
Research Article Numerical Range of Two Operators in Semi-Inner Product Spaces
Abstract and Appied Anaysis Voume 01, Artice ID 846396, 13 pages doi:10.1155/01/846396 Research Artice Numerica Range of Two Operators in Semi-Inner Product Spaces N. K. Sahu, 1 C. Nahak, 1 and S. Nanda
A Solution to the 4-bit Parity Problem with a Single Quaternary Neuron
Neura Information Processing - Letters and Reviews Vo. 5, No. 2, November 2004 LETTER A Soution to the 4-bit Parity Probem with a Singe Quaternary Neuron Tohru Nitta Nationa Institute of Advanced Industria
II. PROBLEM. A. Description. For the space of audio signals
CS229 - Fina Report Speech Recording based Language Recognition (Natura Language) Leopod Cambier - cambier; Matan Leibovich - matane; Cindy Orozco Bohorquez - orozcocc ABSTRACT We construct a rea time
Wavelet Methods for Time Series Analysis. Wavelet-Based Signal Estimation: I. Part VIII: Wavelet-Based Signal Extraction and Denoising
Waveet Methods for Time Series Anaysis Part VIII: Waveet-Based Signa Extraction and Denoising overview of key ideas behind waveet-based approach description of four basic modes for signa estimation discussion
THE APPENDIX FOR THE PAPER: INCENTIVE-AWARE JOB ALLOCATION FOR ONLINE SOCIAL CLOUDS. Appendix A 1
TE APPENDIX FOR TE PAPER: INCENTIVE-AWARE JO ALLOCATION FOR ONLINE SOCIAL CLOUDS Yu Zhang, Mihaea van der Schaar Aendix A 1 1) Proof of Proosition 1 Given the SCP, each suier s decision robem can be formuated
Radar/ESM Tracking of Constant Velocity Target : Comparison of Batch (MLE) and EKF Performance
adar/ racing of Constant Veocity arget : Comparison of Batch (LE) and EKF Performance I. Leibowicz homson-csf Deteis/IISA La cef de Saint-Pierre 1 Bd Jean ouin 7885 Eancourt Cede France Isabee.Leibowicz
Wavelet shrinkage estimators of Hilbert transform
Journa of Approximation Theory 163 (2011) 652 662 www.esevier.com/ocate/jat Fu ength artice Waveet shrinkage estimators of Hibert transform Di-Rong Chen, Yao Zhao Department of Mathematics, LMIB, Beijing
arxiv: v1 [cs.lg] 31 Oct 2017
![arxiv: v1 [cs.lg] 31 Oct 2017](/thumbs/86/93671836.jpg "arxiv: v1 [cs.lg] 31 Oct 2017")
ACCELERATED SPARSE SUBSPACE CLUSTERING Abofaz Hashemi and Haris Vikao Department of Eectrica and Computer Engineering, University of Texas at Austin, Austin, TX, USA arxiv:7.26v [cs.lg] 3 Oct 27 ABSTRACT
Research of Data Fusion Method of Multi-Sensor Based on Correlation Coefficient of Confidence Distance
Send Orders for Reprints to reprints@benthamscience.ae 340 The Open Cybernetics & Systemics Journa, 015, 9, 340-344 Open Access Research of Data Fusion Method of Muti-Sensor Based on Correation Coefficient
ON THE INVARIANCE OF NONINFORMATIVE PRIORS. BY GAURI SANKAR DATTA 1 AND MALAY GHOSH 2 University of Georgia and University of Florida
he Annas of Statistics 1996, Vo 4, No 1, 141159 ON HE INVARIANCE OF NONINFORMAIVE PRIORS BY GAURI SANKAR DAA 1 AND MALAY GHOSH University of Georgia and University of Forida Jeffreys rior, one of the widey
Radial Basis Functions: L p -approximation orders with scattered centres
Radia Basis Functions: L -aroximation orders with scattered centres Martin D. Buhmann and Amos Ron Abstract. In this aer we generaize severa resuts on uniform aroximation orders with radia basis functions
Approach to Identifying Raindrop Vibration Signal Detected by Optical Fiber
Sensors & Transducers, o. 6, Issue, December 3, pp. 85-9 Sensors & Transducers 3 by IFSA http://www.sensorsporta.com Approach to Identifying Raindrop ibration Signa Detected by Optica Fiber ongquan QU,
Stochastic Variational Inference with Gradient Linearization
Stochastic Variationa Inference with Gradient Linearization Suppementa Materia Tobias Pötz * Anne S Wannenwetsch Stefan Roth Department of Computer Science, TU Darmstadt Preface In this suppementa materia,
Self-Driving Car ND - Sensor Fusion - Extended Kalman Filters
Self-Driving Car ND - Sensor Fusion - Extended Kalman Filters Udacity and Mercedes February 7, 07 Introduction Lesson Ma 3 Estimation Problem Refresh 4 Measurement Udate Quiz 5 Kalman Filter Equations
Dirac Spinors. Kevin Cahill for 523 November 28, A 4-component spin-one-half Majorana of Dirac field ψ with action density
Dirac Sinors Kevin Cahi for 53 November 8, A 4-comonent sin-one-haf Majorana of Dirac fied ψ with action density (where ψ ψ iγ ) obeys the Dirac equation L ψ (γ a a + m) ψ ψ ( + m) ψ () (γ a a + m) ψ (
Seasonal Time Series Data Forecasting by Using Neural Networks Multiscale Autoregressive Model
American ourna of Appied Sciences 7 (): 372-378, 2 ISSN 546-9239 2 Science Pubications Seasona Time Series Data Forecasting by Using Neura Networks Mutiscae Autoregressive Mode Suhartono, B.S.S. Uama and
Probabilistic Graphical Models
Schoo of Computer Science Probabiistic Graphica Modes Gaussian graphica modes and Ising modes: modeing networks Eric Xing Lecture 0, February 0, 07 Reading: See cass website Eric Xing @ CMU, 005-07 Network
Correlations between the Cosmic Microwave Background and Infrared Galaxies
Correations between the Cosmic Microwave Background and Infrared Gaaxies B. Scheiner and J. McCoy Department of Physics and Astronomy, University of Iowa, Iowa City, IA 52240 ABSTRACT We report a correation
Optimality of Inference in Hierarchical Coding for Distributed Object-Based Representations
Optimaity of Inference in Hierarchica Coding for Distributed Object-Based Representations Simon Brodeur, Jean Rouat NECOTIS, Département génie éectrique et génie informatique, Université de Sherbrooke,
Joel Broida UCSD Fall 2009 Phys 130B QM II. Homework Set 2 DO ALL WORK BY HAND IN OTHER WORDS, DON T USE MATHEMAT- ICA OR ANY CALCULATORS.
Joe Broida UCSD Fa 009 Phys 30B QM II Homework Set DO ALL WORK BY HAND IN OTHER WORDS, DON T USE MATHEMAT- ICA OR ANY CALCULATORS. You may need to use one or more of these: Y 0 0 = 4π Y 0 = 3 4π cos Y
Image Database Indexing using a Combination of Invariant Shape and Color Descriptions
Image Database Indexing using a Combination of Invariant Shae and Coor Descritions Ronad Aferez and Yuan-Fang Wang Comuter Science Deartment University of Caifornia Santa Barbara, CA, 93106 U.S.A. Abstract
THE GENERALIZED VARIANCE OF A STATIONARY AUTOREGRESSIVE PROCESS. T. W. ANDERSON and RAUL P. MENTZ TECHNICAL REPORT NO.
THE GENERALIZED VARIANCE OF A STATIONARY AUTOREGRESSIVE PROCESS BY / T. W. ANDERSON and RAUL P. MENTZ TECHNICAL REPORT NO. 27 OCTOBER 1976 PREPARED UNDER CONTRACT N00014-75-C-0442 (NR-042-034) OFFICE OF
WAVELET BASED UNSUPERVISED VARIATIONAL BAYESIAN IMAGE RECONSTRUCTION APPROACH
3rd European Signa Processing Conference (EUSIPCO WAVELET BASED UNSUPERVISED VARIATIONAL BAYESIAN IMAGE RECONSTRUCTION APPROACH Yuing Zheng, Auréia Fraysse, Thomas Rodet LIGM, Université Paris-Est, CNRS,
Collective organization in an adaptative mixture of experts
Coective organization in an adaptative mixture of experts Vincent Vigneron, Christine Fuchen, Jean-Marc Martinez To cite this version: Vincent Vigneron, Christine Fuchen, Jean-Marc Martinez. Coective organization
INTELLIGENT PI CONTROLLER AND ITS APPLICATION
Journa of Automation, Mobie Robotics & Inteigent Systems VOLUME, N 00 INELLIGEN PI CONROLLER AND IS APPLICAION O DISSOLVED OXYGEN RACKING PROBLEM rd th Received Setember 009; acceted 7 Ari 00. omasz Zubowicz,
TWO DISTRIBUTED ALGORITHMS FOR THE DECONVOLUTION OF LARGE RADIO-INTERFEROMETRIC MULTISPECTRAL IMAGES
WO DISRIBUED ALGORIHMS FOR HE DECONVOLUION OF LARGE RADIO-INERFEROMERIC MULISPECRAL IMAGES Céine Meiier, Pasca Bianchi, Waid Hachem LCI, CNRS, eecom Paristech, Université Paris-Sacay, 73, Paris, France
First-Order Corrections to Gutzwiller s Trace Formula for Systems with Discrete Symmetries
c 26 Noninear Phenomena in Compex Systems First-Order Corrections to Gutzwier s Trace Formua for Systems with Discrete Symmetries Hoger Cartarius, Jörg Main, and Günter Wunner Institut für Theoretische
The EM Algorithm applied to determining new limit points of Mahler measures
Contro and Cybernetics vo. 39 (2010) No. 4 The EM Agorithm appied to determining new imit points of Maher measures by Souad E Otmani, Georges Rhin and Jean-Marc Sac-Épée Université Pau Veraine-Metz, LMAM,
PARSIMONIOUS VARIATIONAL-BAYES MIXTURE AGGREGATION WITH A POISSON PRIOR. Pierrick Bruneau, Marc Gelgon and Fabien Picarougne
17th European Signa Processing Conference (EUSIPCO 2009) Gasgow, Scotand, August 24-28, 2009 PARSIMONIOUS VARIATIONAL-BAYES MIXTURE AGGREGATION WITH A POISSON PRIOR Pierric Bruneau, Marc Gegon and Fabien
AST 418/518 Instrumentation and Statistics
AST 418/518 Instrumentation and Statistics Cass Website: http://ircamera.as.arizona.edu/astr_518 Cass Texts: Practica Statistics for Astronomers, J.V. Wa, and C.R. Jenkins, Second Edition. Measuring the
Astronomy. Astrophysics. The astrometric core solution for the Gaia mission. Overview of models, algorithms, and software implementation
A&A 538, A78 (2012) DOI: 10.1051/0004-6361/201117905 c ESO 2012 Astronomy & Astrophysics The astrometric core soution for the Gaia mission Overview of modes, agorithms, and software impementation L. Lindegren
General Certificate of Education Advanced Level Examination June 2010
Genera Certificate of Education Advanced Leve Examination June 2010 Human Bioogy HBI6T/P10/task Unit 6T A2 Investigative Skis Assignment Task Sheet The effect of temperature on the rate of photosynthesis
General Certificate of Education Advanced Level Examination June 2010
Genera Certificate of Education Advanced Leve Examination June 2010 Human Bioogy HBI6T/Q10/task Unit 6T A2 Investigative Skis Assignment Task Sheet The effect of using one or two eyes on the perception
WAVELET FREQUENCY DOMAIN APPROACH FOR TIME-SERIES MODELING
1. Introduction WAVELET FREQUENCY DOMAIN APPROACH FOR TIME-SERIES MODELING Ranit Kumar Pau Indian Agricutura Statistics Research Institute Library Avenue, New Dehi 11001 ranitstat@iasri.res.in Autoregressive
DISTRIBUTION OF TEMPERATURE IN A SPATIALLY ONE- DIMENSIONAL OBJECT AS A RESULT OF THE ACTIVE POINT SOURCE
DISTRIBUTION OF TEMPERATURE IN A SPATIALLY ONE- DIMENSIONAL OBJECT AS A RESULT OF THE ACTIVE POINT SOURCE Yury Iyushin and Anton Mokeev Saint-Petersburg Mining University, Vasiievsky Isand, 1 st ine, Saint-Petersburg,
Wavelet Galerkin Solution for Boundary Value Problems
Internationa Journa of Engineering Research and Deveopment e-issn: 2278-67X, p-issn: 2278-8X, www.ijerd.com Voume, Issue 5 (May 24), PP.2-3 Waveet Gaerkin Soution for Boundary Vaue Probems D. Pate, M.K.
Smoothers for ecient multigrid methods in IGA
Smoothers for ecient mutigrid methods in IGA Cemens Hofreither, Stefan Takacs, Water Zuehner DD23, Juy 2015 supported by The work was funded by the Austrian Science Fund (FWF): NFN S117 (rst and third
Terahertz Spectroscopic Material Identification Using Approximate Entropy and Deep Neural Network
Terahertz Spectroscopic Materia Identification Using Approximate Entropy and Deep Neura Network Yichao Li 1, Xiaoping A. Shen 2, Robert L. Ewing 3, and Jia Li 4 1 Schoo of Eectrica Engineering and Computer
A Variance Minimization Criterion to Active Learning on Graphs
A Variance inimization Criterion to Active Learning on Grahs ing Ji Deartment of Comuter Science University of Iinois at Urbana-Chamaign Jiawei Han Deartment of Comuter Science University of Iinois at
TWO DENOISING SURE-LET METHODS FOR COMPLEX OVERSAMPLED SUBBAND DECOMPOSITIONS
TWO DENOISING SUE-ET METHODS FO COMPEX OVESAMPED SUBBAND DECOMPOSITIONS Jérôme Gauthier 1, aurent Duva 2, and Jean-Christophe Pesquet 1 1 Université Paris-Est Institut Gaspard Monge and UM CNS 8049, 77454
Methods for Ordinary Differential Equations. Jacob White
Introduction to Simuation - Lecture 12 for Ordinary Differentia Equations Jacob White Thanks to Deepak Ramaswamy, Jaime Peraire, Micha Rewienski, and Karen Veroy Outine Initia Vaue probem exampes Signa
Structured sparsity for automatic music transcription
Structured sparsity for automatic music transcription O'Hanon, K; Nagano, H; Pumbey, MD; Internationa Conference on Acoustics, Speech and Signa Processing (ICASSP 2012) For additiona information about
Alberto Maydeu Olivares Instituto de Empresa Marketing Dept. C/Maria de Molina Madrid Spain
CORRECTIONS TO CLASSICAL PROCEDURES FOR ESTIMATING THURSTONE S CASE V MODEL FOR RANKING DATA Aberto Maydeu Oivares Instituto de Empresa Marketing Dept. C/Maria de Moina -5 28006 Madrid Spain Aberto.Maydeu@ie.edu
Smoothness equivalence properties of univariate subdivision schemes and their projection analogues
Numerische Mathematik manuscript No. (wi be inserted by the editor) Smoothness equivaence properties of univariate subdivision schemes and their projection anaogues Phiipp Grohs TU Graz Institute of Geometry
FE FORMULATIONS FOR PLASTICITY
G These slides are designed based on the book: Finite Elements in Plasticity Theory and Practice, D.R.J. Owen and E. Hinton, 1970, Pineridge Press Ltd., Swansea, UK. 1 Course Content: A INTRODUCTION AND
Appendix A: MATLAB commands for neural networks
Appendix A: MATLAB commands for neura networks 132 Appendix A: MATLAB commands for neura networks p=importdata('pn.xs'); t=importdata('tn.xs'); [pn,meanp,stdp,tn,meant,stdt]=prestd(p,t); for m=1:10 net=newff(minmax(pn),[m,1],{'tansig','purein'},'trainm');
Worst Case Analysis of the Analog Circuits
Proceedings of the 11th WSEAS Internationa Conference on CIRCUITS, Agios Nikoaos, Crete Isand, Greece, Juy 3-5, 7 9 Worst Case Anaysis of the Anaog Circuits ELENA NICULESCU*, DORINA-MIOARA PURCARU* and
LANDCAL A RANGE OF TEMPERATURE CALIBRATION SOURCES
LANDCAL A RANGE OF TEMPERATURE CALIBRATION SOURCES LANDCAL Backbody Temerature Caibration Sources... extending the caibration route The Landca caibration sources are divided into two grous: Primary Standard
Geometric Invariant Semi-fragile Image Watermarking Using Real Symmetric Matrix
Proceedings of the 5th WSEAS Internationa Conference on Signa Processing, Istanbu, Turkey, May 27-29, 2006 (pp70-75) Geometric Invariant Semi-fragie Image Watermarking Using Rea Symmetric Matrix Ching-Tang
FFTs in Graphics and Vision. Spherical Convolution and Axial Symmetry Detection
FFTs in Graphics and Vision Spherica Convoution and Axia Symmetry Detection Outine Math Review Symmetry Genera Convoution Spherica Convoution Axia Symmetry Detection Math Review Symmetry: Given a unitary
Fractional Power Control for Decentralized Wireless Networks
Fractiona Power Contro for Decentraized Wireess Networks Nihar Jinda, Steven Weber, Jeffrey G. Andrews Abstract We roose and anayze a new aradigm for ower contro in decentraized wireess networks, termed
A MULTI-ORDER DISCONTINUOUS GALERKIN MONTE CARLO METHOD FOR HYPERBOLIC PROBLEMS WITH STOCHASTIC PARAMETERS
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 A MULTI-ORDER DISCONTINUOUS GALERKIN MONTE CARLO METHOD FOR HYPERBOLIC PROBLEMS WITH
REMODELLING OF VIBRATING SYSTEMS VIA FREQUENCY-DOMAIN-BASED VIRTUAL DISTORTION METHOD
Ma³gorzata MECHANICS MRÓZ, Jan HOLNICKI-SZULC REMODELLING Vo. 24 No. 2 25OF VIBRATING SYSTEMS VIA FREQUENCY-DOMAIN-BASED VIRTUAL DISTORTION METHOD Ma³gorzata MRÓZ *, Jan HOLNICKI-SZULC * REMODELLING OF
Multiple Beam Interference
MutipeBeamInterference.nb James C. Wyant 1 Mutipe Beam Interference 1. Airy's Formua We wi first derive Airy's formua for the case of no absorption. ü 1.1 Basic refectance and transmittance Refected ight
Statistical Learning Theory: A Primer
Internationa Journa of Computer Vision 38(), 9 3, 2000 c 2000 uwer Academic Pubishers. Manufactured in The Netherands. Statistica Learning Theory: A Primer THEODOROS EVGENIOU, MASSIMILIANO PONTIL AND TOMASO
Noise, Image Reconstruction with Noise!
Noise, Image Reconstruction with Noise! EE367/CS448I: Computational Imaging and Display! stanford.edu/class/ee367! Lecture 10! Gordon Wetzstein! Stanford University! What s a Pixel?! photon to electron
HILBERT? What is HILBERT? Matlab Implementation of Adaptive 2D BEM. Dirk Praetorius. Features of HILBERT
Söerhaus-Workshop 2009 October 16, 2009 What is HILBERT? HILBERT Matab Impementation of Adaptive 2D BEM joint work with M. Aurada, M. Ebner, S. Ferraz-Leite, P. Godenits, M. Karkuik, M. Mayr Hibert Is
Effective construction of divergence-free wavelets on the square
Effective construction of divergence-free waveets on the square Soueymane Kadri Harouna, Vaérie Perrier To cite this version: Soueymane Kadri Harouna, Vaérie Perrier. Effective construction of divergence-free
Cosmoogica effects in the high-z universe inear redshift-space distortion coherence between density and veocity fieds finger-of-god noninear veocity f
Custering statistics on a ight-cone in the cosmoogica redshift space Yasushi Suto Dept. of Phys. and RESCEU, The University of Tokyo, Japan November 7, 999 (The 4th RESCEU Symposium) based on the coaboration
BP neural network-based sports performance prediction model applied research
Avaiabe onine www.jocpr.com Journa of Chemica and Pharmaceutica Research, 204, 6(7:93-936 Research Artice ISSN : 0975-7384 CODEN(USA : JCPRC5 BP neura networ-based sports performance prediction mode appied
Two view learning: SVM-2K, Theory and Practice
Two view earning: SVM-2K, Theory and Practice Jason D.R. Farquhar jdrf99r@ecs.soton.ac.uk Hongying Meng hongying@cs.york.ac.uk David R. Hardoon drh@ecs.soton.ac.uk John Shawe-Tayor jst@ecs.soton.ac.uk
Numerical solution of one dimensional contaminant transport equation with variable coefficient (temporal) by using Haar wavelet
Goba Journa of Pure and Appied Mathematics. ISSN 973-1768 Voume 1, Number (16), pp. 183-19 Research India Pubications http://www.ripubication.com Numerica soution of one dimensiona contaminant transport
Design of Image Adaptive Wavelets for Denoising Applications
Design of Image Adaptive Wavelets for Denoising Applications Sanjeev Pragada and Jayanthi Sivaswamy Center for Visual Information Technology International Institute of Information Technology - Hyderabad,
https://doi.org/ /epjconf/
HOW TO APPLY THE OPTIMAL ESTIMATION METHOD TO YOUR LIDAR MEASUREMENTS FOR IMPROVED RETRIEVALS OF TEMPERATURE AND COMPOSITION R. J. Sica 1,2,*, A. Haefee 2,1, A. Jaai 1, S. Gamage 1 and G. Farhani 1 1 Department
Determining The Degree of Generalization Using An Incremental Learning Algorithm
Determining The Degree of Generaization Using An Incrementa Learning Agorithm Pabo Zegers Facutad de Ingeniería, Universidad de os Andes San Caros de Apoquindo 22, Las Condes, Santiago, Chie pzegers@uandes.c
Sparse canonical correlation analysis from a predictive point of view
Sparse canonica correation anaysis from a predictive point of view arxiv:1501.01231v1 [stat.me] 6 Jan 2015 Ines Wims Facuty of Economics and Business, KU Leuven and Christophe Croux Facuty of Economics
Unitary Space-Time Pulse Position Modulation for Differential Unipolar MIMO IR-UWB Communications
1 Unitary Sace-Time Puse Position Moduation for Differentia Unioar MIMO IR-UWB Communications Chadi Abou-Rjeiy, Senior Member IEEE Abstract In this aer, we resent a genera technique for constructing minima-deay
Filtered Density Function (for LES) and the Potentials for its Quantum Computation
Coaborators: Fitered Density Function (for ES) and the Potentias for its Quantum Computation S. event Yimaz Center for Simuation and Modeing at Pitt Andrew Daey and Jeremy evy Physics and Astronomy at
Reduction procedure of long-slit optical spectra. Astrophysical observatory of Asiago
Reduction procedure of long-slit optical spectra Astrophysical observatory of Asiago Spectrograph: slit + dispersion grating + detector (CCD) It produces two-dimension data: Spatial direction (x) along
Melodic contour estimation with B-spline models using a MDL criterion
Meodic contour estimation with B-spine modes using a MDL criterion Damien Loive, Ney Barbot, Oivier Boeffard IRISA / University of Rennes 1 - ENSSAT 6 rue de Kerampont, B.P. 80518, F-305 Lannion Cedex
Introduction to VO. Outline. VO Science Goals, Tools and services. Why do we need VO? Scientific Motivation
VO Science Goas, Toos and services Mark Aen Centre de Données astronomiques de Strasbourg Data Centre Aiance Project Scientist IVOA Appications Interest Group Chair Outine Introduction to Virtua Observatories
A Detection and Analysis System of ECG Signals Based on Wavelet Entropy
A Detection and Anaysis System of ECG Signas Based on Waveet Entropy HU Si-yang 1*, DEG Kui 1, Qin Wang 2, ZHAG Chao-hao 2, I ong-ie 2, AG Chang-rong 2 1 Schoo of Eectrica Engineering and Information Southest
THE NUMERICAL EVALUATION OF THE LEVITATION FORCE IN A HYDROSTATIC BEARING WITH ALTERNATING POLES
THE NUMERICAL EVALUATION OF THE LEVITATION FORCE IN A HYDROSTATIC BEARING WITH ALTERNATING POLES MARIAN GRECONICI Key words: Magnetic iquid, Magnetic fied, 3D-FEM, Levitation, Force, Bearing. The magnetic
WAVELET LINEAR ESTIMATION FOR DERIVATIVES OF A DENSITY FROM OBSERVATIONS OF MIXTURES WITH VARYING MIXING PROPORTIONS. B. L. S.
Indian J. Pure App. Math., 41(1): 275-291, February 2010 c Indian Nationa Science Academy WAVELET LINEAR ESTIMATION FOR DERIVATIVES OF A DENSITY FROM OBSERVATIONS OF MIXTURES WITH VARYING MIXING PROPORTIONS
ORTHOGONAL MULTI-WAVELETS FROM MATRIX FACTORIZATION
J. Korean Math. Soc. 46 2009, No. 2, pp. 281 294 ORHOGONAL MLI-WAVELES FROM MARIX FACORIZAION Hongying Xiao Abstract. Accuracy of the scaing function is very crucia in waveet theory, or correspondingy,
An advanced variant of an interpolatory graphical display algorithm
App. Num. Ana. Comp. Mat., No., 04 2 (2004) / DOI 0.002/anac.20030009 An advanced variant o an interpoatory grapica dispay agoritm G. Aa, E. Francomano 2,3, A.Tortorici 2, 3, E.Toscano 4, and F. Vioa Dipartimento
Research Article The Theoretical Limits of Watermark Spread Spectrum Sequence
e Scientific Word Journa, Artice ID 43740, 6 ages htt://dx.doi.org/10.1155/014/43740 Research Artice The Theoretica Limits of Watermark Sread Sectrum Sequence Nan Jiang 1 and Jian Wang 1 Coege of Comuter,
WATERMARKING BASED ON THE HYPERANALYTIC WAVELET TRANSFORM
Voume 49, Number, 8 Eectronics and Teecommunications WATERMARKING BASED ON THE HYPERANALYTIC WAVELET TRANSFORM Corina NAFORNITA Aeandru ISAR Eectronics and Communications Facuty, Poitehnica University,
ON SEQUENCES WITHOUT GEOMETRIC PROGRESSIONS
MATHEMATICS OF COMPUTATION VOLUME 00, NUMBER 00 Xxxx 19xx, PAGES 000 000 ON SEQUENCES WITHOUT GEOMETRIC PROGRESSIONS BRIENNE E. BROWN AND DANIEL M. GORDON Abstract. Severa aers have investigated sequences
On Stretching Gaussian Noises with the Phase Vocoder
On Stretching Gaussian oises with the Phase Vocoder Wei-Hsiang Liao, Axe Roebe, Avin Su To cite this version: Wei-Hsiang Liao, Axe Roebe, Avin Su. On Stretching Gaussian oises with the Phase Vocoder. Proc.
Available online at ScienceDirect. IFAC PapersOnLine 50-1 (2017)
Avaiabe onine at www.sciencedirect.com ScienceDirect IFAC PapersOnLine 50-1 (2017 3412 3417 Stabiization of discrete-time switched inear systems: Lyapunov-Metzer inequaities versus S-procedure characterizations
Adjustment of automatic control systems of production facilities at coal processing plants using multivariant physico- mathematical models
IO Conference Series: Earth and Environmenta Science AER OEN ACCESS Adjustment of automatic contro systems of production faciities at coa processing pants using mutivariant physico- mathematica modes To
1 Introdution. l=1 k l, as in Figure 1.
Likeihood ratio test for the hyer-bock matrix shericity covariance structure characterization of the exact distribution deveoment of near-exact distributions for the test statistic Bárbara R Correia a,
ON SEQUENCES WITHOUT GEOMETRIC PROGRESSIONS
MATHEMATICS OF COMPUTATION Voume 65, Number 216 October 1996, Pages 1749 1754 ON SEQUENCES WITHOUT GEOMETRIC PROGRESSIONS BRIENNE E. BROWN AND DANIEL M. GORDON Abstract. Severa aers have investigated sequences