Color and Color Model Chap. 12

Size: px
Start display at page:

Download "Color and Color Model Chap. 12"

Transcription

1 Coor and Coor Mode Chap. 12

2 Coor Visibiity n Interpretation of coor is a psychophysioogy probem We coud not fuy understand the mechanism Physica characteristics of coor can be represented by a forma expression presentation by experimenta resuts n The concept of coor Spectrum of coor : discovered in 1666 by Newton Newton s prism decomposition

3 Physics of Light n Eectromagnetic spectrum: n Visibe spectrum : red 750 nm ~ vioet 380 nm

4 Physics of Light Some exampes of the refectance spectra of surfaces % Photons Refected Red Yeow Bue Purpe Waveength nm dominant waveength or dominant frequency

5 Psychoogica Characteristics of Coor Mean Hue # Photons bue green yeow Waveength Hue: indicates a characteristic reated to the dominant waveength in a mixed ight wave, and represents a dominant coor as perceived by a human observer

6 Psychoogica Characteristics of Coor Area Brightness B. Area Lightness Stephen E. Pamer, 2002 # Photons bright dark n Luminance Waveength the measured amount of energy perceived by an observer Lumens the physica measure of brightness. Stephen E. Pamer, 2002

7 Psychoogica Characteristics of Coor Variance Saturation # Photons hi. med. ow high medium ow Waveength n Saturation purity Ø Ø How cose a ight appear to be to a pure spectra coor how much a coor is NOT mixed with the white ight Chromacity: hue + saturation Stephen E. Pamer, 2002

8 Intensity & Brightness intensity Spectrum nm intensity : the amount of ight, or the amount of a particuar coor actuay refected or transmitted from a physica object. brightness : measured intensity after it is acquired, samped, and observed with our eyes

9 Coor Modes n Coor Mode Any method for expaining the properties or behavior of coor within some particuar context n No singe coor mode can expain a aspects of coor n Use different modes to hep describe different coor characteristics

10 Primary Coors n Combine the ight from two or more sources with different dominant frequencies Varying the amount intensity of ight from each source Þ a range of additiona coors n Primary coors Hues for the sources n Coor gamut for the mode The set of coors which can be produced from the primary coors n Compementary coor Two primaries that produce white

11 Primary Coors of Light n Red, Green, Bue n Why we choose these three Among 6-7 miion cone ces of our eye, 65% is sensitive to red 630 nm: L cones 33% is sensitive to green 530 nm: M cones 2% is sensitive to bue 450 nm: S cones

12 Coor Matching Function n Tri-stimuus è the amount of R, G, B ights to form a certain coor C = r R + g G + b B n From the coor matching experiment Conducted by W. David Wright and John Guid in the 1920s

13 Coor Matching Experiment 1

14 Coor Matching Experiment 1 R: nm G: nm B: nm R G B

15 Coor Matching Experiment 1 R: nm G: nm B: nm R G B

16 Coor Matching Experiment 1 The primary coor amounts needed for a match R G B

17 Coor Matching Experiment 2

18 Coor Matching Experiment 2 R: nm G: nm B: nm R G B

19 Coor Matching Experiment 2 R: nm G: nm B: nm R G B

20 Coor Matching Experiment 2 We say a negative amount of R was needed to make the match, because we added it to the test coor s side. The primary coor amounts needed for a match: R G B R G B R G B

21 CIERGB Coor System n A coor system pubished in 1931 by CIE, Internationa Commission on Iumination n Based on experimenta resuts n When we use R,G,B coor, we have negative primaries CIERGB Coor Matching Functions

22 CIERGB Coor System CIERGB Coor System b g r b b b g r g g b g r r r + + = + + = + + = rg Chromacity Diagram Normaize

23 CIEXYZ Coor Space n The dominant internationa standard for coor specification 1931, by CIE n Use three imaginary primary coors, X, Y, and Z n The foowing transformation [Dean B. Judd] makes coor matching functions positive everywhere x = r g b y = r g b z = r g b

24 CIEXYZ Coor Space

25 A rea coors can be represented as positive combinations of x, y since x+y+z=1 CIEXYZ Coor Space CIEXYZ Coor Space z y x z z z y x y y z y x x x + + = + + = + + = Normaize

26 CIEXYZ Coor Space n CIE chromaticity diagram encompasses a the perceivabe coors in 2D space x,y

27 CIEXYZ Coor Space n CIExyY Coor Space Y: uminance factor or uminance refectance x y z X = = = : reated to brightness = X X + Y + Z Y X + Y + Z Z X + Y + Z x y Y, Z = z y Y e.g.1 X=10, Y=20, Z= x = = = y = = = e.g.2 X=20, Y=40, Z= x = = = y = = =

28 CIE Chromacity Diagram n n n Spectra coors pure coors Iuminant, C White-ight position Standard approximation for average dayight Luminance vaues not avaiabe n The chromacity diagram is usefu for: Comparing coor gamuts for different sets of primaries. Identifying compementary coors Determining purity and dominant waveength for a given coor

29 CIE Chromacity Diagram n Coor gamut a set of coors a coor mode can describe Coor gamut for three points: a triange with vertices at the three coor positions n No triange within the diagram can encompass a coors!

30 CIE Chromacity Diagram n Compementary coors : together produce white coor. n Iuminant C average dayight

31 CIE Chromacity Diagram n Dominant waveength : hue A straight ine from C through that coor point to a spectra coor on the chromacity diagram C 1 & C s C 1 : C s mixed with white ight C The dominant coor of C 2 is C sp C 2 has spectra distribution with subtractive dominant waveength n Purity : saturation represnted as the ratio of distances = d / d Purity of C 1 c 1 cs

32 RGB Coor Mode Red, Green, Bue ights: additive mode Used in video monitor dispays C = R, G, B = RR + GG + BB Gray scae

33 Cyan, Magenta, Yeow Subtractive mode Used in hard-copy devices such as printer and potter CMYK coor mode - K for back ink for reducing the amount of ink CMY Coor Mode CMY Coor Mode ú ú ú û ù ê ê ê ë é - ú ú ú û ù ê ê ê ë é = ú ú ú û ù ê ê ê ë é Y M C B G R ú ú ú û ù ê ê ê ë é - ú ú ú û ù ê ê ê ë é = ú ú ú û ù ê ê ê ë é B G R Y M C 1 1 1

34 CMYK Exampe

35 HSV Coor Mode n hue H, saturation S, and vaue V pure hues: V=1.0, S=1.0 white point: V=1.0, S=0

36 HSV Coor Mode n Shades Adding back decreases V aong the side of the hexcone toward the back point S=1.0, 0.0 V 1.0 n Tints Adding white decreases S across the top pane of the hexcone V=1.0, 0.0 S 1.0 n Tones Adding both back and white about 128 different hues about 130 different tints about 23 shades for yeow about 16 shades for bue We can distinguish =382,720 coors

37 HSL Coor Mode u u Hue H, saturation S, ightness L, Hue & Saturation give a chromatic information Hue: [0,360] Saturation, Intensity : [0,1]

Multiple Beam Interference

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

More information

CS Color. Aditi Majumder, CS 112 Slide 1

CS Color. Aditi Majumder, CS 112 Slide 1 CS 112 - Color Aditi Majumder, CS 112 Slide 1 Visible Light Spectrum Aditi Majumder, CS 112 Slide 2 Color is due to.. Selective emission/reflection of different wavelengths by surfaces in the world Different

More information

Color Seamlessness in Multi-Projector Displays using Constrained Gamut Morphing

Color Seamlessness in Multi-Projector Displays using Constrained Gamut Morphing Coor Seamessness in Muti-Projector Dispays using Constrained Gamut Morphing IEEE Transactions on Visuaization and Computer Graphics, Vo. 15, No. 6, 2009 Behzad Sajadi, Maxim Lazarov, Aditi Majumder, and

More information

Colour Part One. Energy Density CPSC 553 P Wavelength 700 nm

Colour Part One. Energy Density CPSC 553 P Wavelength 700 nm Colour Part One Energy Density 400 Wavelength 700 nm CPSC 553 P 1 Human Perception An Active Organising Process Many illusions experiments from psychology Colour not just a matter of measuring wavelength

More information

Digital Image Processing

Digital Image Processing Digital Image Processing 16 November 2006 Dr. ir. Aleksandra Pizurica Prof. Dr. Ir. Wilfried Philips Aleksandra.Pizurica @telin.ugent.be Tel: 09/264.3415 UNIVERSITEIT GENT Telecommunicatie en Informatieverwerking

More information

c=lu Name Some Characteristics of Light So What Is Light? Overview

c=lu Name Some Characteristics of Light So What Is Light? Overview Chp 6: Atomic Structure 1. Eectromagnetic Radiation 2. Light Energy 3. Line Spectra & the Bohr Mode 4. Eectron & Wave-Partice Duaity 5. Quantum Chemistry & Wave Mechanics 6. Atomic Orbitas Overview Chemica

More information

Vision & Perception. Simple model: simple reflectance/illumination model. image: x(n 1,n 2 )=i(n 1,n 2 )r(n 1,n 2 ) 0 < r(n 1,n 2 ) < 1

Vision & Perception. Simple model: simple reflectance/illumination model. image: x(n 1,n 2 )=i(n 1,n 2 )r(n 1,n 2 ) 0 < r(n 1,n 2 ) < 1 Simple model: simple reflectance/illumination model Eye illumination source i(n 1,n 2 ) image: x(n 1,n 2 )=i(n 1,n 2 )r(n 1,n 2 ) reflectance term r(n 1,n 2 ) where 0 < i(n 1,n 2 ) < 0 < r(n 1,n 2 )

More information

STUDY GUIDE FOR CONTENT MASTERY. Greenwich, England, and represents 0

STUDY GUIDE FOR CONTENT MASTERY. Greenwich, England, and represents 0 Name Cass Date Mapping Our Word SECTION 2.1 Latitude and Longitude In your textbook, read about atitude and ongitude. Match the definition in Coumn A with the term in Coumn B. Coumn A 1. Science of mapmaking

More information

STUDY GUIDE FOR CONTENT MASTERY. In your textbook, read about latitude and longitude. Match the definition in Column A with the term in Column B.

STUDY GUIDE FOR CONTENT MASTERY. In your textbook, read about latitude and longitude. Match the definition in Column A with the term in Column B. Name Cass Date Mapping Our Word SECTION 2.1 Latitude and Longitude In your textbook, read about atitude and ongitude. Match the definition in Coumn A with the term in Coumn B. c d e b a Coumn A 1. Science

More information

Color and compositing

Color and compositing Color and compositing 2D Computer Graphics: Diego Nehab Summer 208. Radiometry Measurement of radiant energy in terms of absolute power Wave vs. particle Wavelength (λ), frequency (ν = c λ ), and amplitude

More information

Color perception SINA 08/09

Color perception SINA 08/09 Color perception Color adds another dimension to visual perception Enhances our visual experience Increase contrast between objects of similar lightness Helps recognizing objects However, it is clear that

More information

Color vision and colorimetry

Color vision and colorimetry Color vision and colorimetry Photoreceptor types Rods Scotopic vision (low illumination) Do not mediate color perception High density in the periphery to capture many quanta Low spatial resolution Many-to-one

More information

(Refer Slide Time: 2:34) L C V

(Refer Slide Time: 2:34) L C V Microwave Integrated Circuits Professor Jayanta Mukherjee Department of Eectrica Engineering Indian Intitute of Technoogy Bombay Modue 1 Lecture No 2 Refection Coefficient, SWR, Smith Chart. Heo wecome

More information

Midterm Summary Fall Yao Wang Polytechnic University, Brooklyn, NY 11201

Midterm Summary Fall Yao Wang Polytechnic University, Brooklyn, NY 11201 Midterm Summary Fa 3 Yao Wang Poytecnic University Brooyn NY Topics Covered Image representation Coor representation Quantization Contrast enancement Spatia Fitering: noise remova sarpening edge detection

More information

T.C. Banwell, S. Galli. {bct, Telcordia Technologies, Inc., 445 South Street, Morristown, NJ 07960, USA

T.C. Banwell, S. Galli. {bct, Telcordia Technologies, Inc., 445 South Street, Morristown, NJ 07960, USA ON THE SYMMETRY OF THE POWER INE CHANNE T.C. Banwe, S. Gai {bct, sgai}@research.tecordia.com Tecordia Technoogies, Inc., 445 South Street, Morristown, NJ 07960, USA Abstract The indoor power ine network

More information

Visual Imaging and the Electronic Age Color Science

Visual Imaging and the Electronic Age Color Science Visual Imaging and the Electronic Age Color Science Color Gamuts & Color Spaces for User Interaction Lecture #7 September 16, 2014 Donald P. Greenberg Color Triangle for XYZ Y g 2 1 Z r -2-1 b 1 X XYZ

More information

CS681 Computational Colorimetry

CS681 Computational Colorimetry CS681 Computational Colorimetry Min H. Kim KAIST School of Computing Energy on a Lambertian surface An ideal surface that provides uniform diffusion of the incident radiation such that its luminance is

More information

Homework 05 - H Atom and Electron Configuration

Homework 05 - H Atom and Electron Configuration HW05 - H Atom and Eectron Configuration This is a preview of the pubished version of the quiz Started: Sep 25 at 6pm Quiz Instructions Homework 05 - H Atom and Eectron Configuration Question 1 Which of

More information

Color Science Light & Spectra

Color Science Light & Spectra COLOR Visible Light Color Science Light & Spectra Light is an electromagnetic wave It s color is characterized by it s wavelength Most light sources produce contributions over many wavelengths, contributions

More information

Homework 05 - H Atom and Electron Configuration

Homework 05 - H Atom and Electron Configuration HW05 - H Atom and Eectron Configura!on! This is a preview of the pubished version of the quiz Started: Sep 18 at 12:47pm Quiz Instruc!ons Homework 05 - H Atom and Eectron Configuration Question 1 Which

More information

O9e Fringes of Equal Thickness

O9e Fringes of Equal Thickness Fakutät für Physik und Geowissenschaften Physikaisches Grundpraktikum O9e Fringes of Equa Thickness Tasks 1 Determine the radius of a convex ens y measuring Newton s rings using ight of a given waveength.

More information

Color images C1 C2 C3

Color images C1 C2 C3 Color imaging Color images C1 C2 C3 Each colored pixel corresponds to a vector of three values {C1,C2,C3} The characteristics of the components depend on the chosen colorspace (RGB, YUV, CIELab,..) Digital

More information

Visual Imaging and the Electronic Age Color Science Metamers & Chromaticity Diagrams. Lecture #6 September 7, 2017 Prof. Donald P.

Visual Imaging and the Electronic Age Color Science Metamers & Chromaticity Diagrams. Lecture #6 September 7, 2017 Prof. Donald P. Visual Imaging and the Electronic Age Color Science Metamers & Chromaticity Diagrams Lecture #6 September 7, 2017 Prof. Donald P. Greenberg Matching the Power Spectrum of the Test Lamp with a Full Set

More information

Visual Imaging and the Electronic Age Color Science

Visual Imaging and the Electronic Age Color Science Visual Imaging and the Electronic Age Color Science Grassman s Experiments & Trichromacy Lecture #5 September 6, 2016 Prof. Donald P. Greenberg Light as Rays Light as Waves Light as Photons What is Color

More information

Keywords: Rayleigh scattering, Mie scattering, Aerosols, Lidar, Lidar equation

Keywords: Rayleigh scattering, Mie scattering, Aerosols, Lidar, Lidar equation CEReS Atmospheric Report, Vo., pp.9- (007 Moecuar and aeroso scattering process in reation to idar observations Hiroaki Kue Center for Environmenta Remote Sensing Chiba University -33 Yayoi-cho, Inage-ku,

More information

Visual Imaging and the Electronic Age Color Science

Visual Imaging and the Electronic Age Color Science Visual Imaging and the Electronic Age Color Science Grassman s Experiments & Trichromacy Lecture #5 September 8, 2015 Prof. Donald P. Greenberg What is Color Science? Quantifying the physical energy which

More information

AST 418/518 Instrumentation and Statistics

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

More information

EXPERIMENT 5 MOLAR CONDUCTIVITIES OF AQUEOUS ELECTROLYTES

EXPERIMENT 5 MOLAR CONDUCTIVITIES OF AQUEOUS ELECTROLYTES EXPERIMENT 5 MOLR CONDUCTIVITIES OF QUEOUS ELECTROLYTES Objective: To determine the conductivity of various acid and the dissociation constant, K for acetic acid a Theory. Eectrica conductivity in soutions

More information

D. Prémel, J.M. Decitre and G. Pichenot. CEA, LIST, F Gif-sur-Yvette, France

D. Prémel, J.M. Decitre and G. Pichenot. CEA, LIST, F Gif-sur-Yvette, France SIMULATION OF EDDY CURRENT INSPECTION INCLUDING MAGNETIC FIELD SENSOR SUCH AS A GIANT MAGNETO-RESISTANCE OVER PLANAR STRATIFIED MEDIA COMPONENTS WITH EMBEDDED FLAWS D. Préme, J.M. Decitre and G. Pichenot

More information

Interference and Diffraction

Interference and Diffraction 0_Interference.nb Chapter 0 Interference and Diffraction 0. Interference 0.. Two Sit Interference Pattern We have aready seen exampes of the interference between two waves. Given two counter propagating

More information

Two Kinds of Parabolic Equation algorithms in the Computational Electromagnetics

Two Kinds of Parabolic Equation algorithms in the Computational Electromagnetics Avaiabe onine at www.sciencedirect.com Procedia Engineering 9 (0) 45 49 0 Internationa Workshop on Information and Eectronics Engineering (IWIEE) Two Kinds of Paraboic Equation agorithms in the Computationa

More information

Section 5: From Earth to the stars - using models

Section 5: From Earth to the stars - using models Section 5: From Earth to the stars - using modes Contents 3 1. Using modes to expore night and day 3 2. Using stories and observation to think about the moon 4 3. Representing the soar system 5 Resource

More information

Left-right symmetric models and long baseline neutrino experiments

Left-right symmetric models and long baseline neutrino experiments Left-right symmetric modes and ong baseine neutrino experiments Katri Huitu Hesinki Institute of Physics and Department of Physics, University of Hesinki, P. O. Box 64, FI-00014 University of Hesinki,

More information

Supplemental Information. Anti-Inflammatory Chromatinscape. Suggests Alternative Mechanisms. of Glucocorticoid Receptor Action

Supplemental Information. Anti-Inflammatory Chromatinscape. Suggests Alternative Mechanisms. of Glucocorticoid Receptor Action Immunity, Voume 7 Suppementa Information nti-infammatory Chromatinscape Suggests ternative Mechanisms of Gucocorticoid Receptor ction Kyu-Seon Oh, Heta Pate, Rache. Gottschak, Wai Shing Lee, Songjoon aek,

More information

Introduction to Colorimetry

Introduction to Colorimetry IES NY Issues in Color Seminar February 26, 2011 Introduction to Colorimetry Jean Paul Freyssinier Lighting Research Center, Rensselaer Polytechnic Institute Troy, New York, U.S.A. sponsored by www.lrc.rpi.edu/programs/solidstate/assist

More information

Supporting Information for Suppressing Klein tunneling in graphene using a one-dimensional array of localized scatterers

Supporting Information for Suppressing Klein tunneling in graphene using a one-dimensional array of localized scatterers Supporting Information for Suppressing Kein tunneing in graphene using a one-dimensiona array of ocaized scatterers Jamie D Was, and Danie Hadad Department of Chemistry, University of Miami, Cora Gabes,

More information

17 Lecture 17: Recombination and Dark Matter Production

17 Lecture 17: Recombination and Dark Matter Production PYS 652: Astrophysics 88 17 Lecture 17: Recombination and Dark Matter Production New ideas pass through three periods: It can t be done. It probaby can be done, but it s not worth doing. I knew it was

More information

Bayesian Learning. You hear a which which could equally be Thanks or Tanks, which would you go with?

Bayesian Learning. You hear a which which could equally be Thanks or Tanks, which would you go with? Bayesian Learning A powerfu and growing approach in machine earning We use it in our own decision making a the time You hear a which which coud equay be Thanks or Tanks, which woud you go with? Combine

More information

Illustrating Opponent Process, Color Evolution, and Color Blindness by the Decoding Model of Color Vision

Illustrating Opponent Process, Color Evolution, and Color Blindness by the Decoding Model of Color Vision Illustrating Opponent Process, Color Evolution, and Color Blindness by the Decoding Model of Color Vision LU, CHENGUANG 4643 North Park Drive, Port Alberni, BC, CANADA, V9Y 3H7 A symmetrical model of color

More information

https://doi.org/ /epjconf/

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

More information

UGRA Display Analysis & Certification Tool Report

UGRA Display Analysis & Certification Tool Report Basics Date: Report-Version: Monitor-Name: EDID-Name: EDID-Serial: Profile: UGRA Display Analysis & Certification Tool Report 2014-5-12 10:21:53 v2.0.0 EIZO CX271 Created: 2014-5-12 8:09 Measurement device:

More information

Physics 566: Quantum Optics Quantization of the Electromagnetic Field

Physics 566: Quantum Optics Quantization of the Electromagnetic Field Physics 566: Quantum Optics Quantization of the Eectromagnetic Fied Maxwe's Equations and Gauge invariance In ecture we earned how to quantize a one dimensiona scaar fied corresponding to vibrations on

More information

Atomic Physics Problem B

Atomic Physics Problem B NAME DATE CLASS Atomic Physics Probem B THE PHOTOELECTRIC EFFECT PROBLEM SOLUTION Utravioet radiation, which is part of the soar spectrum, causes a photoeectric effect in certain materias. If the kinetic

More information

THE THREE POINT STEINER PROBLEM ON THE FLAT TORUS: THE MINIMAL LUNE CASE

THE THREE POINT STEINER PROBLEM ON THE FLAT TORUS: THE MINIMAL LUNE CASE THE THREE POINT STEINER PROBLEM ON THE FLAT TORUS: THE MINIMAL LUNE CASE KATIE L. MAY AND MELISSA A. MITCHELL Abstract. We show how to identify the minima path network connecting three fixed points on

More information

Color difference Delta E - A survey

Color difference Delta E - A survey See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/236023905 Color difference Delta E - A survey Article in Machine Graphics and Vision April

More information

Job 5 col bar closs Date 16th April 2012 Time 14:09:42. presssign REPORT

Job 5 col bar closs Date 16th April 2012 Time 14:09:42. presssign REPORT Job 5 col bar closs Date 16th April 2012 Time 14:09:42 presssign REPORT CONTENTS presssign 1 Job information 2 TVI - Tonal Value Increase 3-4 Colour 5 Lab Density 6 7 Calibration Curves 8 NPDC 9 Score

More information

HYDROGEN ATOM SELECTION RULES TRANSITION RATES

HYDROGEN ATOM SELECTION RULES TRANSITION RATES DOING PHYSICS WITH MATLAB QUANTUM PHYSICS Ian Cooper Schoo of Physics, University of Sydney ian.cooper@sydney.edu.au HYDROGEN ATOM SELECTION RULES TRANSITION RATES DOWNLOAD DIRECTORY FOR MATLAB SCRIPTS

More information

Electromagnetic Waves

Electromagnetic Waves Eectromagnetic Waves Dispacement Current- It is that current that comes into existence (in addition to conduction current) whenever the eectric fied and hence the eectric fux changes with time. It is equa

More information

Interpretation of NIMS and SSI Images on the Jovian Cloud Structure

Interpretation of NIMS and SSI Images on the Jovian Cloud Structure Icarus 150, 219 233 (2001) doi:10.1006/icar.2000.6582, avaiabe onine at http://www.ideaibrary.com on Interpretation of NIMS and SSI Images on the Jovian Coud Structure U. A. Dyudina, A. P. Ingerso, and

More information

A Simple and Efficient Algorithm of 3-D Single-Source Localization with Uniform Cross Array Bing Xue 1 2 a) * Guangyou Fang 1 2 b and Yicai Ji 1 2 c)

A Simple and Efficient Algorithm of 3-D Single-Source Localization with Uniform Cross Array Bing Xue 1 2 a) * Guangyou Fang 1 2 b and Yicai Ji 1 2 c) A Simpe Efficient Agorithm of 3-D Singe-Source Locaization with Uniform Cross Array Bing Xue a * Guangyou Fang b Yicai Ji c Key Laboratory of Eectromagnetic Radiation Sensing Technoogy, Institute of Eectronics,

More information

Fresnel Equations cont.

Fresnel Equations cont. Lecture 11 Chapter 4 Fresnel quations cont. Total internal reflection and evanescent waves Optical properties of metals Familiar aspects of the interaction of light and matter Fresnel quations: phases

More information

8 Digifl'.11 Cth:uits and devices

8 Digifl'.11 Cth:uits and devices 8 Digif'. Cth:uits and devices 8. Introduction In anaog eectronics, votage is a continuous variabe. This is usefu because most physica quantities we encounter are continuous: sound eves, ight intensity,

More information

Vorlesung 2. Visualisation of wave functions (April 18, 2008)

Vorlesung 2. Visualisation of wave functions (April 18, 2008) Vorlesung 2. Visualisation of wave functions (April 18, 2008) Introduction nobody can tell us how a quantum-mechanical particle looks like at the same time: 1) many quantum mechanical processes can be

More information

RELUCTANCE The resistance of a material to the flow of charge (current) is determined for electric circuits by the equation

RELUCTANCE The resistance of a material to the flow of charge (current) is determined for electric circuits by the equation INTRODUCTION Magnetism pays an integra part in amost every eectrica device used today in industry, research, or the home. Generators, motors, transformers, circuit breakers, teevisions, computers, tape

More information

Opponent Color Spaces

Opponent Color Spaces C. A. Bouman: Digital Image Processing - January 8, 2018 1 Opponent Color Spaces Perception of color is usually not best represented in RGB. A better model of HVS is the so-call opponent color model Opponent

More information

4.4 Perpendicular Lines

4.4 Perpendicular Lines OMMON ORE Locker LESSON 4.4 erpendicuar Lines Name ass ate 4.4 erpendicuar Lines ommon ore Math Standards The student is expected to: OMMON ORE G-O..9 rove theorems about ines and anges. so G-O..12 Mathematica

More information

Critical points of holomorphic functions

Critical points of holomorphic functions Critical points of holomorphic functions Alberto Garcı a-raboso October 27, 2014 Let w = f (z) a complex-valued function of one complex variable. One possible way of representing graphically such a function

More information

OLYMPIAD 2 MOCK TEST

OLYMPIAD 2 MOCK TEST More Practice - More Score E = mc 2 6 This 'Mock Test 20-20 series' provides students, the rigorous practice they need to prepare for any Oympiad, through carefuy designed 'Mutipe Choice Questions'. The

More information

Multimedia Information Systems

Multimedia Information Systems Multimedia Information Systems Samson Cheung EE 639, Fall 2004 Lecture 3 & 4: Color, Video, and Fundamentals of Data Compression 1 Color Science Light is an electromagnetic wave. Its color is characterized

More information

The Hydrogen Atomic Model Based on the Electromagnetic Standing Waves and the Periodic Classification of the Elements

The Hydrogen Atomic Model Based on the Electromagnetic Standing Waves and the Periodic Classification of the Elements Appied Physics Research; Vo. 4, No. 3; 0 ISSN 96-9639 -ISSN 96-9647 Pubished by Canadian Center of Science and ducation The Hydrogen Atomic Mode Based on the ectromagnetic Standing Waves and the Periodic

More information

VI.G Exact free energy of the Square Lattice Ising model

VI.G Exact free energy of the Square Lattice Ising model VI.G Exact free energy of the Square Lattice Ising mode As indicated in eq.(vi.35), the Ising partition function is reated to a sum S, over coections of paths on the attice. The aowed graphs for a square

More information

Paper presented at the Workshop on Space Charge Physics in High Intensity Hadron Rings, sponsored by Brookhaven National Laboratory, May 4-7,1998

Paper presented at the Workshop on Space Charge Physics in High Intensity Hadron Rings, sponsored by Brookhaven National Laboratory, May 4-7,1998 Paper presented at the Workshop on Space Charge Physics in High ntensity Hadron Rings, sponsored by Brookhaven Nationa Laboratory, May 4-7,998 Noninear Sef Consistent High Resoution Beam Hao Agorithm in

More information

Lecture 6 Povh Krane Enge Williams Properties of 2-nucleon potential

Lecture 6 Povh Krane Enge Williams Properties of 2-nucleon potential Lecture 6 Povh Krane Enge Wiiams Properties of -nuceon potentia 16.1 4.4 3.6 9.9 Meson Theory of Nucear potentia 4.5 3.11 9.10 I recommend Eisberg and Resnik notes as distributed Probems, Lecture 6 1 Consider

More information

MVS. Multichannel Verification System

MVS. Multichannel Verification System MVS Mutichanne Verification System Increase iquid handing quaity with easy, reiabe performance verification. Are your iquid handers transferring critica voumes accuratey and precisey? Woud you know if

More information

Midterm Summary Fall 08. Yao Wang Polytechnic University, Brooklyn, NY 11201

Midterm Summary Fall 08. Yao Wang Polytechnic University, Brooklyn, NY 11201 Midterm Summary Fall 8 Yao Wang Polytechnic University, Brooklyn, NY 2 Components in Digital Image Processing Output are images Input Image Color Color image image processing Image Image restoration Image

More information

Separation of Variables and a Spherical Shell with Surface Charge

Separation of Variables and a Spherical Shell with Surface Charge Separation of Variabes and a Spherica She with Surface Charge In cass we worked out the eectrostatic potentia due to a spherica she of radius R with a surface charge density σθ = σ cos θ. This cacuation

More information

Problem set 6 The Perron Frobenius theorem.

Problem set 6 The Perron Frobenius theorem. Probem set 6 The Perron Frobenius theorem. Math 22a4 Oct 2 204, Due Oct.28 In a future probem set I want to discuss some criteria which aow us to concude that that the ground state of a sef-adjoint operator

More information

Theoretical Cosmology

Theoretical Cosmology Theoretica Cosmoogy Ruth Durrer, Roy Maartens, Costas Skordis Geneva, Capetown, Nottingham Benasque, February 16 2011 Ruth Durrer (Université de Genève) Theoretica Cosmoogy Benasque 2011 1 / 14 Theoretica

More information

Determining CIEDE2000 for Printing Conformance

Determining CIEDE2000 for Printing Conformance (A paper to be presented at the iarigai Research Conference, Sept. 11-14, 211, Budapest, Hungary) Determining CIEDE for Printing Conformance Robert Chung and Ping-hsu Chen Keywords: CIELAB, E* ab, E, Optimized

More information

Colour. The visible spectrum of light corresponds wavelengths roughly from 400 to 700 nm.

Colour. The visible spectrum of light corresponds wavelengths roughly from 400 to 700 nm. Colour The visible spectrum of light corresponds wavelengths roughly from 4 to 7 nm. The image above is not colour calibrated. But it offers a rough idea of the correspondence between colours and wavelengths.

More information

BP neural network-based sports performance prediction model applied research

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

More information

Candidate Number. General Certificate of Education Advanced Level Examination June 2010

Candidate Number. General Certificate of Education Advanced Level Examination June 2010 Centre Number Surname Candidate Number For Examiner s Use Other Names Candidate Signature Examiner s Initias Genera Certificate of Education Advanced Leve Examination June 2010 Question 1 2 Mark Physics

More information

AQA GCSE. Higher tier Suitable for GCSE Biology and GCSE Combined Science Trilogy Answers online. Biology. James Napier

AQA GCSE. Higher tier Suitable for GCSE Biology and GCSE Combined Science Trilogy Answers online. Biology. James Napier AQA sa m p e GCSE Bioogy Higher tier Suitabe for GCSE Bioogy and GCSE Combined Science Triogy Answers onine James Napier 494_AQA_GCSE_Bio_WB_P.indd 97850494 GCSE AQA Bioogy.indd /06/8 :9 PM 0/06/08 0:7

More information

Scalable Spectrum Allocation for Large Networks Based on Sparse Optimization

Scalable Spectrum Allocation for Large Networks Based on Sparse Optimization Scaabe Spectrum ocation for Large Networks ased on Sparse Optimization innan Zhuang Modem R&D Lab Samsung Semiconductor, Inc. San Diego, C Dongning Guo, Ermin Wei, and Michae L. Honig Department of Eectrica

More information

Statistical Learning Theory: A Primer

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

More information

First-Order Corrections to Gutzwiller s Trace Formula for Systems with Discrete Symmetries

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

More information

MARKOV CHAINS AND MARKOV DECISION THEORY. Contents

MARKOV CHAINS AND MARKOV DECISION THEORY. Contents MARKOV CHAINS AND MARKOV DECISION THEORY ARINDRIMA DATTA Abstract. In this paper, we begin with a forma introduction to probabiity and expain the concept of random variabes and stochastic processes. After

More information

arxiv: v1 [hep-lat] 21 Nov 2011

arxiv: v1 [hep-lat] 21 Nov 2011 Deta I=3/2 K to pi-pi decays with neary physica kinematics arxiv:1111.4889v1 [hep-at] 21 Nov 2011 University of Southampton, Schoo of Physics and Astronomy, Highfied, Southampton, SO17 1BJ, United Kingdom

More information

Some Measures for Asymmetry of Distributions

Some Measures for Asymmetry of Distributions Some Measures for Asymmetry of Distributions Georgi N. Boshnakov First version: 31 January 2006 Research Report No. 5, 2006, Probabiity and Statistics Group Schoo of Mathematics, The University of Manchester

More information

The influence of temperature of photovoltaic modules on performance of solar power plant

The influence of temperature of photovoltaic modules on performance of solar power plant IOSR Journa of Engineering (IOSRJEN) ISSN (e): 2250-3021, ISSN (p): 2278-8719 Vo. 05, Issue 04 (Apri. 2015), V1 PP 09-15 www.iosrjen.org The infuence of temperature of photovotaic modues on performance

More information

Course 2BA1, Section 11: Periodic Functions and Fourier Series

Course 2BA1, Section 11: Periodic Functions and Fourier Series Course BA, 8 9 Section : Periodic Functions and Fourier Series David R. Wikins Copyright c David R. Wikins 9 Contents Periodic Functions and Fourier Series 74. Fourier Series of Even and Odd Functions...........

More information

Data Mining Technology for Failure Prognostic of Avionics

Data Mining Technology for Failure Prognostic of Avionics IEEE Transactions on Aerospace and Eectronic Systems. Voume 38, #, pp.388-403, 00. Data Mining Technoogy for Faiure Prognostic of Avionics V.A. Skormin, Binghamton University, Binghamton, NY, 1390, USA

More information

Bohr s atomic model. 1 Ze 2 = mv2. n 2 Z

Bohr s atomic model. 1 Ze 2 = mv2. n 2 Z Bohr s atomic mode Another interesting success of the so-caed od quantum theory is expaining atomic spectra of hydrogen and hydrogen-ike atoms. The eectromagnetic radiation emitted by free atoms is concentrated

More information

221B Lecture Notes Notes on Spherical Bessel Functions

221B Lecture Notes Notes on Spherical Bessel Functions Definitions B Lecture Notes Notes on Spherica Besse Functions We woud ike to sove the free Schrödinger equation [ h d r R(r) = h k R(r). () m r dr r m R(r) is the radia wave function ψ( x) = R(r)Y m (θ,

More information

Acoustic Nondestructive Testing and Measurement of Tension for Steel Reinforcing Members

Acoustic Nondestructive Testing and Measurement of Tension for Steel Reinforcing Members Acoustic Nondestructive Testing and Measurement of Tension for Stee Reinforcing Members Part 1 Theory by Michae K. McInerney PURPOSE: This Coasta and Hydrauics Engineering Technica Note (CHETN) describes

More information

Information-Based Adaptive Sensor Management for Sensor Networks

Information-Based Adaptive Sensor Management for Sensor Networks 2011 American Contro Conference on O'Farre Street, San Francisco, CA, USA June 29 - Juy 01, 2011 Information-Based Adaptive Sensor Management for Sensor Networks Karen L. Jenkins and David A. Castañón

More information

Final Marking Guidelines 2011 examination June series. Biology Unit 6T A2 Investigative Skills Assignment. General Certificate of Education

Final Marking Guidelines 2011 examination June series. Biology Unit 6T A2 Investigative Skills Assignment. General Certificate of Education Genera Certificate of Education Bioogy Unit 6T A Investigative Skis Assignment BIO6T/P11/MG Fina Marking Guideines 011 examination June series WMP/Jun11/BIO6T/P11/MG Bioogy - AQA GCE BIO6T/P11 /Marking

More information

Adjustment of automatic control systems of production facilities at coal processing plants using multivariant physico- mathematical models

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

More information

For this project, you will create a series of paintings that communicate a message through their use of color.

For this project, you will create a series of paintings that communicate a message through their use of color. Kensington Woods School Name: Art 1 Experiment Project For this project, you will create a series of paintings that communicate a message through their use of color. Create a series of 3+ small painting

More information

4.3 Proving Lines are Parallel

4.3 Proving Lines are Parallel Nae Cass Date 4.3 Proving Lines are Parae Essentia Question: How can you prove that two ines are parae? Expore Writing Converses of Parae Line Theores You for the converse of and if-then stateent "if p,

More information

Calculating Alkalinity

Calculating Alkalinity Cacuating Akainity Overview How to cacuate acid:anion ratios at varying ionic strengths Use the Mixing Water cacuation as a ph titration apparatus Understand how weak acid chemistry affects akainity Compare

More information

Color Basics. Lecture 2. Electromagnetic Radiation - Spectrum. Spectral Power Distribution

Color Basics. Lecture 2. Electromagnetic Radiation - Spectrum. Spectral Power Distribution ectur Color Basics Wavelength Encoding Trichromatic Color Theory Color Matching Experiments -2-8 -4 4 8 Wavelength in meters (m) Newton s Experiment Visible light 4nm 5nm 6nm 7nm Wavelength 665, Cambridge

More information

Numerical Simulation for Optimizing Temperature Gradients during Single Crystal Casting Process

Numerical Simulation for Optimizing Temperature Gradients during Single Crystal Casting Process ISIJ Internationa Vo 54 (2014) No 2 pp 254 258 Numerica Simuation for Optimizing Temperature Gradients during Singe Crysta Casting Process Aeksandr Aeksandrovich INOZEMTSEV 1) Aeksandra Sergeevna DUBROVSKAYA

More information

Online Appendices for The Economics of Nationalism (Xiaohuan Lan and Ben Li)

Online Appendices for The Economics of Nationalism (Xiaohuan Lan and Ben Li) Onine Appendices for The Economics of Nationaism Xiaohuan Lan and Ben Li) A. Derivation of inequaities 9) and 10) Consider Home without oss of generaity. Denote gobaized and ungobaized by g and ng, respectivey.

More information

Polar Snakes: a fast and robust parametric active contour model

Polar Snakes: a fast and robust parametric active contour model Poar Snakes: a fast and robust parametric active contour mode Christophe Coewet To cite this version: Christophe Coewet. Poar Snakes: a fast and robust parametric active contour mode. IEEE Int. Conf. on

More information

Physics 235 Chapter 8. Chapter 8 Central-Force Motion

Physics 235 Chapter 8. Chapter 8 Central-Force Motion Physics 35 Chapter 8 Chapter 8 Centra-Force Motion In this Chapter we wi use the theory we have discussed in Chapter 6 and 7 and appy it to very important probems in physics, in which we study the motion

More information

MONTE CARLO SIMULATIONS

MONTE CARLO SIMULATIONS MONTE CARLO SIMULATIONS Current physics research 1) Theoretica 2) Experimenta 3) Computationa Monte Caro (MC) Method (1953) used to study 1) Discrete spin systems 2) Fuids 3) Poymers, membranes, soft matter

More information

Physics 506 Winter 2006 Homework Assignment #6 Solutions

Physics 506 Winter 2006 Homework Assignment #6 Solutions Physics 506 Winter 006 Homework Assignment #6 Soutions Textbook probems: Ch. 10: 10., 10.3, 10.7, 10.10 10. Eectromagnetic radiation with eiptic poarization, described (in the notation of Section 7. by

More information

EVERYDAY EXAMPLES OF ENGINEERING CONCEPTS

EVERYDAY EXAMPLES OF ENGINEERING CONCEPTS EVERYDAY EXAMPLES OF ENGINEERING CONCEPTS F7: Simiitude & dimensiona anaysis Copyright 04 This work is icensed under the Creative Commons Attribution-NonCommercia-NoDerivs.0 Unported License. To view a

More information

COLOR SCIENCE. Concepts and Methods, Quantitative Data and Formulae, 2nd Edition. John Wiley & Sons New York Chichester Brisbane Toronto Singapore

COLOR SCIENCE. Concepts and Methods, Quantitative Data and Formulae, 2nd Edition. John Wiley & Sons New York Chichester Brisbane Toronto Singapore COLOR SCIENCE Concepts and Methods, Quantitative Data and Formulae, 2nd Edition GÜNTER WYSZECKI National Research Council, Ottawa, Ontario, Canada W. S. STILES Richmond, Surrey, England t^- n M 1982 A

More information