Target Response Adaptation for Correlation Filter Tracking

Size: px
Start display at page:

Download "Target Response Adaptation for Correlation Filter Tracking"

Transcription

1 Target Response Adaptaton for Correlaton Flter Tracng Adel Bb, Matthas Mueller, and Bernard Ghanem Image and Vdeo Understandng Laboratory IVUL, Kng Abdullah Unversty of Scence and Technology KAUST, Saud Araba In ths supplementary materal, we followup our dscusson on the soluton to the followng problem: mn w,y Aw y + λ w + λ y y 0 The problem s convex quadratc and a statonary pont s necessary and suffcent for global optmalty. The followng sectons wll dscuss how Problem s solved n the prmal doman, dual doman, and for both sngle and multple templates along wth the formula used to generate the response map, whose maxmum value determnes the current detecton. Lastly, we dscuss a one way of ncorporatng SRDCF wth our proposed target adaptve framewor. Soluton to Problem n the Prmal Doman. Usng a Sngle Template Problem can be rewrtten n terms of z wth z T w T y T : fz A I z + λ I 0 z + λ 0 I z y 0, where w R n, A R n n, y R n, y 0 R n, z R n, then: A z fz T A A T I z + λ A I z + λ 0 0 z λ 0 I y I 0 0 A z fz T A + λ I A T 0 z λ A + λ I y I 0 F 0 dagâ â + λ dagâ F H F dagâ dag + λ 0 F H z λ y I 0 dagâ â + λ dagâ ŵ 0 dagâ dag + λ ŷ λ F H y 0 ŵ dagâ â ŷ λ + λ dagâ 0 y dagâ dag + λ 0 F H

2 Adel Bb, Matthas Mueller, and Bernard Ghanem Note that the nverse lemma states: B N B NC V B NC V NC V C C VB NC V C VB NC V NC + C 3 B NC V dagâ â + λ dagâ dag + λ dagâ B NC V + λ dag λ â â + λ + λ B NC V NC â dag λ â â + λ + λ Snce: ŵ ŵ λ B NC V NC F H y o 4 λ â ŷo λ â â + λ + λ ŵ λ â ŷ o λ â â + λ + λ 5 Detecton Formula wth a Sngle Template As for the detecton formula n the prmal doman, we consder a new test sample u. For detecton, we construct all the crcular shfts of u n matrx U. Therefore, the response map on the test sample s: Tu Uw FdagûF H w ˆT u û ŵ ˆTu û ŵ 6. Usng Multple Templates Followng s the dervaton of the soluton for the multple template case n prmal doman,.e. when à Rn n, s the total number of templates, and à T A T A T... A T and Ĩ T I I... I. fz à Ĩ z + λ I 0 z + λ 0 I z y 0 fz ÃT à ÃT Ĩ I z + λ z + λ ĨT à ĨT Ĩ 0 0 z λ 0 I y I 0 0 ÃT à + λ fz I ÃT Ĩ 0 z λ y ĨT à + λ I I 0 }{{} Γ

3 Target Response Adaptaton for Correlaton Flter Tracng 3 Now, note the followng: à T à AT A, ĨT Ĩ IT I I, and à T Ĩ AT, and that ĨT à A. It s clear that ÃT à and ĨT Ĩ are crculant whch s a sum of crculant matrces. Therefore, the matrx Γ s bloc wse crculant such that Γ R n n. Smlar to the sngle template case, we have: w ỹ λ dagâ â + λ dagâ 0 dagâ dag + λ F H y 0 7 Usng the nverse lemma n Eq 3 on Γ, we get: B NC V dag â â + λ dag â dag â + λ 8 B NC V NC dag â + λ â aˆ + + λ λ â â ŵ λ ˆ a ŷ o + λ â aˆ + + λ λ â â 9 0 It s to be noted that when, then Eq 0 reduces to the sngle template case n Eq 5, snce â â â â for. Detecton Formula wth Multple Templates Here, the detecton formula s smlar to Eq 6. Soluton to Problem n the Dual Doman. Usng a Sngle Template The optmzaton problem becomes: fz A I z + λ I 0 z + λ 0 I z y 0 For smpler notaton, let G A I, also let E I 0, and D 0 I fz Gz + λ Ez + λ Dz y 0 λ z T d y 0 + λ Ez + Gz

4 4 Adel Bb, Matthas Mueller, and Bernard Ghanem z fz λ z T d y 0 d + λ E T Ez + G T Gz 0 λ z T d y 0 d λ E T E + G T G z z λ λ E T E + G T G z T d y 0 d Let α λ z T d y 0. Then z λ E T E + G T G. By substtutng the dual varables α nto Eq, we obtan: fα λ λ E T E + G T G D T α. Let K α T DK d y 0 + λ EK D T α + GK D T α Then, the new dual objectve s gven by: 3 fα λ DK D T α y 0 + λ EK D T α + GK D T α 4 By settng the gradent to zero, the soluton to Problem 4 s obtaned by solvng the followng lnear system: λ DK D T DK D T + λ DK E T EK D T + DK G T GK D T α λ DK D T y 0 DK λ D T D + λ E T E + G T G K D T α λ DK D T y 0 }{{} 5 Ψ A D T A + λ I A T A T A + λ I A T A T A + λ I A T A I A + λ I A I }{{} D T A α λ D T A + λ I A T D T y A I 0 6 By usng the nverse lemma and the dagonalzaton propertes of crculant matrces smlar to nvertng the crculant dagonal matrx n the sngle template Ψ

5 Target Response Adaptaton for Correlaton Flter Tracng 5 case, one can show the followng: A K T A + λ I A T A I K λ I λ A T 7 λ A λ AA T + I K ΨK λ I λ A T I 0 λ λ AA T λ λ A T + + λ I λ A λ AA T + I λ I + λ A T +λ A λ λ A T + λ A T AA T λ λ AA T A + +λ λ λ A λ AA T AA T + +λ λ λ AA T + + λ I 8 Therefore, by substtutng Eq 8 nto Eq 6, we get the lnear system: λ λ AA T AA T + + λ AA T + + λ I α λ AA T + I y 0 9 λ λ The prevous problem can be effcently dagonalzed and solved as follows: λ F λ dagâ â â â + + λ dagâ â λ + + λ I ˆα λ F dagâ â λ + λ I ŷo λ ˆα λ â â + λ ŷo λ â λ â â â + +λ λ â â + + λ λ λ â â + λ ŷ o ˆα λ â λ â â â + +λ λ â â + + λ 0 Detecton Formula wth a Sngle Template Tu Uw UEK D T α U I 0 λ I λ A T 0 λ A λ AA T + I UA T α α λ λ Fdagû â ˆα ˆTu λ û â ˆα

6 6 Adel Bb, Matthas Mueller, and Bernard Ghanem. Usng Multple Templates For multple templates, the only dfference s that G T Therefore, the new dual objectve s gven as follows: where A T A T... A T I I... I D K λ D T D + λ E T E + G T G K D T α λ D K D T y 0 K AT A + λ I A T A I F 0 K dagâ â + λ I F dagâ 0 F H 0 dagâ I 0 F H 3 4 To fnd K, we use the nverse lemma n Eq 3 agan. Frst, we need to fnd: B NC V: B NC V dagâ â + λ I dagâ dagâ dag â â + λ I dag â dag â dag â â + λ dag â dag â â + λ â â â Then, usng the nverse lemma 3 and smlar trcs as used for tranng the flter n the sngle template case n the prmal doman, the nverse of K s gven as follows: K F 0 F Λ H 0 0 F 0 F H where dag Λ dag â â+λ â â â â â+λ â â â dag dag â â+λ â â â â + â â+λ â â 5

7 Target Response Adaptaton for Correlaton Flter Tracng 7 And snce: Ψ λ D T D + λ E T E + G T G AT A + λ I A T A + λ I F 0 0 F Ω F H 0 0 F H where Ω dagâ â + λ I dagâ dagâ + λ I Then, K Ψ K dag ΛΩ dag0 F 0 F ΛΩΛ H 0 0 F 0 F H dag dag λ â â â+λ â â â â+ +λ â â+ λ +λ â â+λ â â dag ΛΩΛ dag0 dag dag λ â â â+λ â â â â+ +λ â â+ λ +λ â â+λ â â dag dag â â+λ â â â â â+λ â â â dag dag â â+λ â â â â + â â+λ â â Υ Υ Υ Υ

8 8 Adel Bb, Matthas Mueller, and Bernard Ghanem Note that to to compute D K Ψ K D T, only the last bloc Υ s relevant. So, D K Ψ K D T FdagΥ F H, where λ Υ â + â â â â â â â + λ â â â â â â + λ â â + +λ â â â â + λ â â + + λ â â â â + λ â â + 6 Wth some mathematcal manpulaton Eq 6 s exactly equvalent to Eq 7 n the paper. As for the rght hand sde of Eq, one need to fnd: D K D T Fdag â â â â + λ â â + Therefore, soluton to Problem s computed as follows: FdagΥ F H α λ F â â â â + λ â â + F H 7 F H y o 8 ˆα λ dag Υ â â â â + λ ŷ 0 â ŷ0 + â 9 Detecton Formula wth Multple Templates Tu Uw UE K D T û α F â ˆα â â + λ â â ˆTu û â ˆα â â + λ â â 30

9 Target Response Adaptaton for Correlaton Flter Tracng 9 3 Integratng SRDCF Instead of re-dervng a closed form soluton to SRDCF s formulaton, one can use alternatng optmzaton, where the flter w and the target response y are updated n an teratve fashon eepng one of them fxed at any gven tme. The target adapted SRDCF objectve becomes: mn w,y Aw y + λ Xw + λ y y 0, 3 where X s the weght mas over the flter. Usng alternatng optmzaton, t can be mnmzed by solvng the next two optmzaton problems at teraton j. w j+ arg mn Aw y j + λ Xw 3 w y j+ arg mn Aw j+ y + λ y y 0 33 y Problem 3 can be solved usng the standard SRDCF soluton, whle Problem 33 has a closed form soluton as follows: y j+ + λ Aw j+ + λ y o 34 To compute y j+ effcently n the Fourer doman, we can use the followng strategy: y j+ Fdagâ F H w j+ + λ y o + λ 35 Fdagâ ŵ j+ + λ y o + λ 36 ŷ dagâ ŵ j+ + λ ŷ + λ o 37 â ŵ j+ + λ ŷ + λ o 38 Acnowledgments. Research n ths publcaton was supported by the Kng Abdullah Unversty of Scence and Technology KAUST Offce of Sponsored Research.

10 0 Adel Bb, Matthas Mueller, and Bernard Ghanem References. Bb, A., Mueller, M., Ghanem, B.: Target response adaptaton for correlaton flter tracng. In: European Conference on Computer Vson, ECCV, 06.. Danelljan, M., Hager, G., Shahbaz Khan, F., Felsberg, M.: Learnng spatally regularzed correlaton flters for vsual tracng. In: IEEE Internatonal Conference on Computer Vson, ICCV, 05.

Understanding the Spike Algorithm

Understanding the Spike Algorithm Understandng the Spke Algorthm Vctor Ejkhout and Robert van de Gejn May, ntroducton The parallel soluton of lnear systems has a long hstory, spannng both drect and teratve methods Whle drect methods exst

More information

Adaptive Modulation for Multiple Antenna Channels

Adaptive Modulation for Multiple Antenna Channels Adaptve Modulaton for Multple Antenna Channels June Chul Roh and Bhaskar D. Rao Department of Electrcal and Computer Engneerng Unversty of Calforna, San Dego La Jolla, CA 993-7 E-mal: jroh@ece.ucsd.edu,

More information

Dynamic Optimization. Assignment 1. Sasanka Nagavalli January 29, 2013 Robotics Institute Carnegie Mellon University

Dynamic Optimization. Assignment 1. Sasanka Nagavalli January 29, 2013 Robotics Institute Carnegie Mellon University Dynamc Optmzaton Assgnment 1 Sasanka Nagavall snagaval@andrew.cmu.edu 16-745 January 29, 213 Robotcs Insttute Carnege Mellon Unversty Table of Contents 1. Problem and Approach... 1 2. Optmzaton wthout

More information

Walsh Function Based Synthesis Method of PWM Pattern for Full-Bridge Inverter

Walsh Function Based Synthesis Method of PWM Pattern for Full-Bridge Inverter Walsh Functon Based Synthess Method of PWM Pattern for Full-Brdge Inverter Sej Kondo and Krt Choesa Nagaoka Unversty of Technology 63-, Kamtomoka-cho, Nagaoka 9-, JAPAN Fax: +8-58-7-95, Phone: +8-58-7-957

More information

problems palette of David Rock and Mary K. Porter 6. A local musician comes to your school to give a performance

problems palette of David Rock and Mary K. Porter 6. A local musician comes to your school to give a performance palette of problems Davd Rock and Mary K. Porter 1. If n represents an nteger, whch of the followng expressons yelds the greatest value? n,, n, n, n n. A 60-watt lghtbulb s used for 95 hours before t burns

More information

Fast Code Detection Using High Speed Time Delay Neural Networks

Fast Code Detection Using High Speed Time Delay Neural Networks Fast Code Detecton Usng Hgh Speed Tme Delay Neural Networks Hazem M. El-Bakry 1 and Nkos Mastoraks 1 Faculty of Computer Scence & Informaton Systems, Mansoura Unversty, Egypt helbakry0@yahoo.com Department

More information

A Comparison of Two Equivalent Real Formulations for Complex-Valued Linear Systems Part 2: Results

A Comparison of Two Equivalent Real Formulations for Complex-Valued Linear Systems Part 2: Results AMERICAN JOURNAL OF UNDERGRADUATE RESEARCH VOL. 1 NO. () A Comparson of Two Equvalent Real Formulatons for Complex-Valued Lnear Systems Part : Results Abnta Munankarmy and Mchael A. Heroux Department of

More information

Decomposition Principles and Online Learning in Cross-Layer Optimization for Delay-Sensitive Applications

Decomposition Principles and Online Learning in Cross-Layer Optimization for Delay-Sensitive Applications Techncal Report Decomposton Prncples and Onlne Learnng n Cross-Layer Optmzaton for Delay-Senstve Applcatons Abstract In ths report, we propose a general cross-layer optmzaton framework n whch we explctly

More information

The Detection Algorithms Performance in BLAST Enhanced IEEE a WLAN Standard on Measured Channels. University of Bristol

The Detection Algorithms Performance in BLAST Enhanced IEEE a WLAN Standard on Measured Channels. University of Bristol The Detecton Algorthms Performance n BLAST Enhanced IEEE 802.11a WLAN Standard on Measured Channels Unversty of Brstol Robert Pechoc, Paul Fletcher, Andy Nx, Nshan Canagarajah and Joe McGeehan The Thrd

More information

Passive Filters. References: Barbow (pp ), Hayes & Horowitz (pp 32-60), Rizzoni (Chap. 6)

Passive Filters. References: Barbow (pp ), Hayes & Horowitz (pp 32-60), Rizzoni (Chap. 6) Passve Flters eferences: Barbow (pp 6575), Hayes & Horowtz (pp 360), zzon (Chap. 6) Frequencyselectve or flter crcuts pass to the output only those nput sgnals that are n a desred range of frequences (called

More information

Graph Method for Solving Switched Capacitors Circuits

Graph Method for Solving Switched Capacitors Circuits Recent Advances n rcuts, ystems, gnal and Telecommuncatons Graph Method for olvng wtched apactors rcuts BHUMIL BRTNÍ Department of lectroncs and Informatcs ollege of Polytechncs Jhlava Tolstého 6, 586

More information

Research of Dispatching Method in Elevator Group Control System Based on Fuzzy Neural Network. Yufeng Dai a, Yun Du b

Research of Dispatching Method in Elevator Group Control System Based on Fuzzy Neural Network. Yufeng Dai a, Yun Du b 2nd Internatonal Conference on Computer Engneerng, Informaton Scence & Applcaton Technology (ICCIA 207) Research of Dspatchng Method n Elevator Group Control System Based on Fuzzy Neural Network Yufeng

More information

DIMENSIONAL SYNTHESIS FOR WIDE-BAND BAND- PASS FILTERS WITH QUARTER-WAVELENGTH RES- ONATORS

DIMENSIONAL SYNTHESIS FOR WIDE-BAND BAND- PASS FILTERS WITH QUARTER-WAVELENGTH RES- ONATORS Progress In Electromagnetcs Research B, Vol. 17, 213 231, 29 DIMENSIONAL SYNTHESIS FOR WIDE-BAND BAND- PASS FILTERS WITH QUARTER-WAVELENGTH RES- ONATORS Q. Zhang and Y. Lu School of Electrcal and Electroncs

More information

CS345a: Data Mining Jure Leskovec and Anand Rajaraman Stanford University

CS345a: Data Mining Jure Leskovec and Anand Rajaraman Stanford University CS345a: Data Mnng Jure Leskovec and Anand Rajaraman Stanford Unversty HW3 s out Poster sesson s on last day of classes: Thu March 11 at 4:15 Reports are due March 14 Fnal s March 18 at 12:15 Open book,

More information

Generalized Incomplete Trojan-Type Designs with Unequal Cell Sizes

Generalized Incomplete Trojan-Type Designs with Unequal Cell Sizes Internatonal Journal of Theoretcal & Appled Scences 6(1): 50-54(2014) ISSN No. (Prnt): 0975-1718 ISSN No. (Onlne): 2249-3247 Generalzed Incomplete Trojan-Type Desgns wth Unequal Cell Szes Cn Varghese,

More information

Chinese Remainder. Discrete Mathematics Andrei Bulatov

Chinese Remainder. Discrete Mathematics Andrei Bulatov Chnese Remander Introducton Theorem Dscrete Mathematcs Andre Bulatov Dscrete Mathematcs Chnese Remander Theorem 34-2 Prevous Lecture Resdues and arthmetc operatons Caesar cpher Pseudorandom generators

More information

29. Network Functions for Circuits Containing Op Amps

29. Network Functions for Circuits Containing Op Amps 9. Network Functons for Crcuts Contanng Op Amps Introducton Each of the crcuts n ths problem set contans at least one op amp. Also each crcut s represented by a gven network functon. These problems can

More information

Source Localization by TDOA with Random Sensor Position Errors - Part II: Mobile sensors

Source Localization by TDOA with Random Sensor Position Errors - Part II: Mobile sensors Source Localzaton by TDOA wth Random Sensor Poston Errors - Part II: Moble sensors Xaome Qu,, Lhua Xe EXOUISITUS, Center for E-Cty, School of Electrcal and Electronc Engneerng, Nanyang Technologcal Unversty,

More information

Learning Ensembles of Convolutional Neural Networks

Learning Ensembles of Convolutional Neural Networks Learnng Ensembles of Convolutonal Neural Networks Lran Chen The Unversty of Chcago Faculty Mentor: Greg Shakhnarovch Toyota Technologcal Insttute at Chcago 1 Introducton Convolutonal Neural Networks (CNN)

More information

NOVEL ITERATIVE TECHNIQUES FOR RADAR TARGET DISCRIMINATION

NOVEL ITERATIVE TECHNIQUES FOR RADAR TARGET DISCRIMINATION NOVEL ITERATIVE TECHNIQUES FOR RADAR TARGET DISCRIMINATION Phaneendra R.Venkata, Nathan A. Goodman Department of Electrcal and Computer Engneerng, Unversty of Arzona, 30 E. Speedway Blvd, Tucson, Arzona

More information

Rejection of PSK Interference in DS-SS/PSK System Using Adaptive Transversal Filter with Conditional Response Recalculation

Rejection of PSK Interference in DS-SS/PSK System Using Adaptive Transversal Filter with Conditional Response Recalculation SERBIAN JOURNAL OF ELECTRICAL ENGINEERING Vol., No., November 23, 3-9 Rejecton of PSK Interference n DS-SS/PSK System Usng Adaptve Transversal Flter wth Condtonal Response Recalculaton Zorca Nkolć, Bojan

More information

Multiband Jamming Strategies with Minimum Rate Constraints

Multiband Jamming Strategies with Minimum Rate Constraints Multband Jammng Strateges wth Mnmum Rate Constrants Karm Banawan, Sennur Ulukus, Peng Wang, and Bran Henz Department of Electrcal and Computer Engneerng, Unversty of Maryland, College Park, MD 7 US Army

More information

IEE Electronics Letters, vol 34, no 17, August 1998, pp ESTIMATING STARTING POINT OF CONDUCTION OF CMOS GATES

IEE Electronics Letters, vol 34, no 17, August 1998, pp ESTIMATING STARTING POINT OF CONDUCTION OF CMOS GATES IEE Electroncs Letters, vol 34, no 17, August 1998, pp. 1622-1624. ESTIMATING STARTING POINT OF CONDUCTION OF CMOS GATES A. Chatzgeorgou, S. Nkolads 1 and I. Tsoukalas Computer Scence Department, 1 Department

More information

Optimal Periodic Training Signal for Frequency Offset Estimation in Frequency Selective Fading Channels

Optimal Periodic Training Signal for Frequency Offset Estimation in Frequency Selective Fading Channels Optmal Perodc Tranng Sgnal for Frequency Offset Estmaton n Frequency Selectve Fadng Channels Hlang Mnn, Member, IEEE and Shaohu Xng Department of Electrcal Engneerng School of Engneerng and Computer Scence

More information

NMR Part II, Quadrature Detection

NMR Part II, Quadrature Detection Nmr 6.mcd 5/3/97 NMR Part II, Quadrature Detecton Quadrature detecton uses two detector channels separated by 9 degrees. Ths dstngushes the drecton of rotaton (clockwse or counterclockwse) n the rotatng

More information

ALICE AND BOB GO TO DINNER: A VARIATION ON MÉNAGE

ALICE AND BOB GO TO DINNER: A VARIATION ON MÉNAGE #A72 INTEGERS 6 (26) ALIE AND BOB GO TO DINNER: A VARIATION ON MÉNAGE Vladmr Shevelev Department of Mathematcs, Ben-Guron Unversty of the Negev, Beer-Sheva, Israel shevelev@bgu.ac.l Peter J.. Moses Moparmatc

More information

Location of Rescue Helicopters in South Tyrol

Location of Rescue Helicopters in South Tyrol Locaton of Rescue Helcopters n South Tyrol Monca Talwar Department of Engneerng Scence Unversty of Auckland New Zealand talwar_monca@yahoo.co.nz Abstract South Tyrol s a popular destnaton n Northern Italy

More information

To: Professor Avitabile Date: February 4, 2003 From: Mechanical Student Subject: Experiment #1 Numerical Methods Using Excel

To: Professor Avitabile Date: February 4, 2003 From: Mechanical Student Subject: Experiment #1 Numerical Methods Using Excel To: Professor Avtable Date: February 4, 3 From: Mechancal Student Subject:.3 Experment # Numercal Methods Usng Excel Introducton Mcrosoft Excel s a spreadsheet program that can be used for data analyss,

More information

Integer Programming. P.H.S. Torr Lecture 5. Integer Programming

Integer Programming. P.H.S. Torr Lecture 5. Integer Programming Integer Programmng P.H.S. Torr Lecture 5 Integer Programmng Outlne Mathematcal programmng paradgm Lnear Programmng Integer Programmng Integer Programmng Eample Unmodularty LP -> IP Theorem Concluson Specal

More information

PRACTICAL, COMPUTATION EFFICIENT HIGH-ORDER NEURAL NETWORK FOR ROTATION AND SHIFT INVARIANT PATTERN RECOGNITION. Evgeny Artyomov and Orly Yadid-Pecht

PRACTICAL, COMPUTATION EFFICIENT HIGH-ORDER NEURAL NETWORK FOR ROTATION AND SHIFT INVARIANT PATTERN RECOGNITION. Evgeny Artyomov and Orly Yadid-Pecht 68 Internatonal Journal "Informaton Theores & Applcatons" Vol.11 PRACTICAL, COMPUTATION EFFICIENT HIGH-ORDER NEURAL NETWORK FOR ROTATION AND SHIFT INVARIANT PATTERN RECOGNITION Evgeny Artyomov and Orly

More information

Phasor Representation of Sinusoidal Signals

Phasor Representation of Sinusoidal Signals Phasor Representaton of Snusodal Sgnals COSC 44: Dgtal Communcatons Instructor: Dr. Amr Asf Department of Computer Scence and Engneerng York Unversty Handout # 6: Bandpass odulaton Usng Euler dentty e

More information

Recognition of Low-Resolution Face Images using Sparse Coding of Local Features

Recognition of Low-Resolution Face Images using Sparse Coding of Local Features Recognton of Low-Resoluton Face Images usng Sparse Codng of Local Features M. Saad Shakeel and Kn-Man-Lam Centre for Sgnal Processng, Department of Electronc and Informaton Engneerng he Hong Kong Polytechnc

More information

Two-Stage Detector for SC-FDMA Transmission over MIMO ISI Channels

Two-Stage Detector for SC-FDMA Transmission over MIMO ISI Channels Two-Stage Detector for SC-FDMA Transmsson over MIMO ISI Channels Marcel Jar Eml Matúš Esther Pérez-Adeva Eckhard Ohlmer and Gerhard Fettwes Vodafone Char Moble Communcaton Systems Technsche Unverstät Dresden

More information

Multi-sensor optimal information fusion Kalman filter with mobile agents in ring sensor networks

Multi-sensor optimal information fusion Kalman filter with mobile agents in ring sensor networks Mult-sensor optmal nformaton fuson Kalman flter wth moble agents n rng sensor networs Behrouz Safarneadan *, Kazem asanpoor ** *Shraz Unversty of echnology, safarnead@sutech.ac.r ** Shraz Unversty of echnology,.hasanpor@gmal.com

More information

Network Theory. EC / EE / IN. for

Network Theory.   EC / EE / IN. for Network Theory for / / IN By www.thegateacademy.com Syllabus Syllabus for Networks Network Graphs: Matrces Assocated Wth Graphs: Incdence, Fundamental ut Set and Fundamental rcut Matrces. Soluton Methods:

More information

A Robust Adaptive Carrier Frequency Offset Estimation Algorithm for OFDM

A Robust Adaptive Carrier Frequency Offset Estimation Algorithm for OFDM Amercan Journal of Sgnal Processng 015, 5(A): 6-31 DOI: 10.593/s.ajsp.01501.04 A Robust Aaptve Carrer Frequency Offset Estmaton Algorthm for OFDM Azam Khall *, Amr Rastegarna, Bahareh Darvsh Department

More information

Optimal Allocation of Static VAr Compensator for Active Power Loss Reduction by Different Decision Variables

Optimal Allocation of Static VAr Compensator for Active Power Loss Reduction by Different Decision Variables S. Aucharyamet and S. Srsumrannukul / GMSARN Internatonal Journal 4 (2010) 57-66 Optmal Allocaton of Statc VAr Compensator for Actve Power oss Reducton by Dfferent Decson Varables S. Aucharyamet and S.

More information

A Lower Bound for τ(n) of Any k-perfect Numbers

A Lower Bound for τ(n) of Any k-perfect Numbers Pure Mathematcal Scences, Vol. 4, 205, no. 3, 99-03 HIKARI Ltd, www.m-har.com http://dx.do.org/0.2988/pms.205.4923 A Lower Bound for τn of Any -Perfect Numbers Keneth Adran P. Dagal Department of Mathematcs

More information

Unit 1. Current and Voltage U 1 VOLTAGE AND CURRENT. Circuit Basics KVL, KCL, Ohm's Law LED Outputs Buttons/Switch Inputs. Current / Voltage Analogy

Unit 1. Current and Voltage U 1 VOLTAGE AND CURRENT. Circuit Basics KVL, KCL, Ohm's Law LED Outputs Buttons/Switch Inputs. Current / Voltage Analogy ..2 nt Crcut Bascs KVL, KCL, Ohm's Law LED Outputs Buttons/Swtch Inputs VOLTAGE AND CRRENT..4 Current and Voltage Current / Voltage Analogy Charge s measured n unts of Coulombs Current Amount of charge

More information

Piecewise Linear Approximation of Generators Cost Functions Using Max-Affine Functions

Piecewise Linear Approximation of Generators Cost Functions Using Max-Affine Functions Pecewse Lnear Approxmaton of Generators Cost Functons Usng Max-Affne Functons Hamed Ahmad José R. Martí School of Electrcal and Computer Engneerng Unversty of Brtsh Columba Vancouver, BC, Canada Emal:

More information

Exploiting Dynamic Workload Variation in Low Energy Preemptive Task Scheduling

Exploiting Dynamic Workload Variation in Low Energy Preemptive Task Scheduling Explotng Dynamc Worload Varaton n Low Energy Preemptve Tas Schedulng Lap-Fa Leung, Ch-Yng Tsu Department of Electrcal and Electronc Engneerng Hong Kong Unversty of Scence and Technology Clear Water Bay,

More information

ANNUAL OF NAVIGATION 11/2006

ANNUAL OF NAVIGATION 11/2006 ANNUAL OF NAVIGATION 11/2006 TOMASZ PRACZYK Naval Unversty of Gdyna A FEEDFORWARD LINEAR NEURAL NETWORK WITH HEBBA SELFORGANIZATION IN RADAR IMAGE COMPRESSION ABSTRACT The artcle presents the applcaton

More information

UNIT 11 TWO-PERSON ZERO-SUM GAMES WITH SADDLE POINT

UNIT 11 TWO-PERSON ZERO-SUM GAMES WITH SADDLE POINT UNIT TWO-PERSON ZERO-SUM GAMES WITH SADDLE POINT Structure. Introducton Obectves. Key Terms Used n Game Theory.3 The Maxmn-Mnmax Prncple.4 Summary.5 Solutons/Answers. INTRODUCTION In Game Theory, the word

More information

Comparison of Gradient descent method, Kalman Filtering and decoupled Kalman in training Neural Networks used for fingerprint-based positioning

Comparison of Gradient descent method, Kalman Filtering and decoupled Kalman in training Neural Networks used for fingerprint-based positioning Comparson of Gradent descent method, Kalman lterng and decoupled Kalman n tranng Neural Networs used for fngerprnt-based postonng Claude Mbusa Taenga, Koteswara Rao Anne, K Kyamaya, Jean Chamberlan Chedou

More information

Intensity- modulated radiotherapy. Beyond fluence map op.miza.on

Intensity- modulated radiotherapy. Beyond fluence map op.miza.on Intensty- modulated radotherapy ì Beyond fluence map op.mza.on Overvew So far: Fluence map op.mza.on Now: - Intensty- modulated proton therapy (IMRT) Extensons n IMRT plannng - leaf sequencng - drect aperture

More information

arxiv: v1 [astro-ph.im] 24 Apr 2015

arxiv: v1 [astro-ph.im] 24 Apr 2015 arxv:14.06579v1 [astro-ph.im] 24 Apr 2015 Solvng the polarzaton problem n ALMA-VLBI observatons, John Conway, Mchael Lndqvst Dpt. of Earth and Space Scences, Chalmers Unversty of Technology Onsala Space

More information

Full-duplex Relaying for D2D Communication in mmwave based 5G Networks

Full-duplex Relaying for D2D Communication in mmwave based 5G Networks Full-duplex Relayng for D2D Communcaton n mmwave based 5G Networks Boang Ma Hamed Shah-Mansour Member IEEE and Vncent W.S. Wong Fellow IEEE Abstract Devce-to-devce D2D communcaton whch can offload data

More information

An Effective Approach for Distribution System Power Flow Solution

An Effective Approach for Distribution System Power Flow Solution World Academy of Scence, Engneerng and Technology nternatonal Journal of Electrcal and Computer Engneerng ol:, No:, 9 An Effectve Approach for Dstrbuton System Power Flow Soluton A. Alsaad, and. Gholam

More information

Joint Scheduling and Resource Allocation in Uplink OFDM Systems for Broadband Wireless Access Networks

Joint Scheduling and Resource Allocation in Uplink OFDM Systems for Broadband Wireless Access Networks 226 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 27, NO. 2, FEBRUARY 2009 Jont Schedulng and Resource Allocaton n Uplnk OFDM Systems for Broadband Wreless Access Networks Janwe Huang, Vay G.

More information

MIMO-OFDM Systems. Team Telecommunication and Computer Networks, FSSM, University Cadi Ayyad, P.O. Box 2390, Marrakech, Morocco.

MIMO-OFDM Systems. Team Telecommunication and Computer Networks, FSSM, University Cadi Ayyad, P.O. Box 2390, Marrakech, Morocco. IJCSI Internatonal Journal of Computer Scence Issues, Vol. 8, Issue 3, ay 2011 ISSN (Onlne: 1694-0814 A Low-complexty Power and Bt Allocaton Algorthm for ultuser IO-OFD Systems Ayad Habb 1, Khald El Baamran

More information

Block Diagonal Precoding Based Power Allocation for Coordinated Multi-Point Transmission

Block Diagonal Precoding Based Power Allocation for Coordinated Multi-Point Transmission 54 JOUAL OF COMMUICAIOS, VOL 6, O 7, OCOBE 0 Bloc Dagonal recodng Based ower Allocaton for Coordnated Mult-ont ransmsson Jng Han Broadband Wreless Communcatons and Multmeda Laboratory, Key Laboratory of

More information

2522 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 61, NO. 6, JUNE TDOA Based Positioning in the Presence of Unknown Clock Skew

2522 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 61, NO. 6, JUNE TDOA Based Positioning in the Presence of Unknown Clock Skew 5 IEEE TRANSACTIONS ON COMMUNICATIONS VOL. NO. JUNE 3 TDOA Based Postonng n the Presence of Unknown Clock Skew Mohammad Reza Gholam Student Member IEEE Snan Gezc Senor Member IEEE anderkg.ström Senor Member

More information

Figure 1. DC-DC Boost Converter

Figure 1. DC-DC Boost Converter EE46, Power Electroncs, DC-DC Boost Converter Verson Oct. 3, 11 Overvew Boost converters make t possble to effcently convert a DC voltage from a lower level to a hgher level. Theory of Operaton Relaton

More information

Enhanced Artificial Neural Networks Using Complex Numbers

Enhanced Artificial Neural Networks Using Complex Numbers Enhanced Artfcal Neural Networks Usng Complex Numers Howard E. Mchel and A. A. S. Awwal Computer Scence Department Unversty of Dayton Dayton, OH 45469-60 mchel@cps.udayton.edu Computer Scence & Engneerng

More information

Test 2. ECON3161, Game Theory. Tuesday, November 6 th

Test 2. ECON3161, Game Theory. Tuesday, November 6 th Test 2 ECON36, Game Theory Tuesday, November 6 th Drectons: Answer each queston completely. If you cannot determne the answer, explanng how you would arrve at the answer may earn you some ponts.. (20 ponts)

More information

Throughput Maximization by Adaptive Threshold Adjustment for AMC Systems

Throughput Maximization by Adaptive Threshold Adjustment for AMC Systems APSIPA ASC 2011 X an Throughput Maxmzaton by Adaptve Threshold Adjustment for AMC Systems We-Shun Lao and Hsuan-Jung Su Graduate Insttute of Communcaton Engneerng Department of Electrcal Engneerng Natonal

More information

The Spectrum Sharing in Cognitive Radio Networks Based on Competitive Price Game

The Spectrum Sharing in Cognitive Radio Networks Based on Competitive Price Game 8 Y. B. LI, R. YAG, Y. LI, F. YE, THE SPECTRUM SHARIG I COGITIVE RADIO ETWORKS BASED O COMPETITIVE The Spectrum Sharng n Cogntve Rado etworks Based on Compettve Prce Game Y-bng LI, Ru YAG., Yun LI, Fang

More information

Harmonic Modeling of Inrush Current in Core Type Power Transformers using Hartley Transform

Harmonic Modeling of Inrush Current in Core Type Power Transformers using Hartley Transform Harmonc Modelng of Inrush Current n Core Type Power Transformers usng Hartley Transform M. A. Taghkhan* (C.A.), A. Shekholeslam** and Z. Taghkhan*** Abstract: Ths paper presents a new method for evaluaton

More information

Optimal Decentralized Kalman Filter

Optimal Decentralized Kalman Filter 17th Medterranean Conference on Control & Automaton Makedona Palace, Thessalonk, Greece June 24-26, 2009 Optmal Decentralzed Kalman Flter S Oruç, J Sjs, PPJ van den Bosch Abstract The Kalman flter s a

More information

How to Scale Up the Spectral Efficiency of Multi-way Massive MIMO Relaying?

How to Scale Up the Spectral Efficiency of Multi-way Massive MIMO Relaying? ow to Scale Up the Spectral Effcency of Mult-way Massve MIMO Relayng? Chung Duc o, en Quoc Ngo, Mchal Matthaou, and Trung Q. Duong School of Electroncs, Electrcal Engneerng and Computer Scence, Queen s

More information

Performance Study of OFDMA vs. OFDM/SDMA

Performance Study of OFDMA vs. OFDM/SDMA Performance Study of OFDA vs. OFD/SDA Zhua Guo and Wenwu Zhu crosoft Research, Asa 3F, Beng Sgma Center, No. 49, Zhchun Road adan Dstrct, Beng 00080, P. R. Chna {zhguo, wwzhu}@mcrosoft.com Abstract: In

More information

Subcarrier allocation for OFDMA wireless channels using lagrangian relaxation methods

Subcarrier allocation for OFDMA wireless channels using lagrangian relaxation methods Unversty of Wollongong Research Onlne Faculty of Informatcs - Papers (Archve) Faculty of Engneerng and Informaton Scences 2006 Subcarrer allocaton for OFDMA wreless channels usng lagrangan relaxaton methods

More information

Medium Term Load Forecasting for Jordan Electric Power System Using Particle Swarm Optimization Algorithm Based on Least Square Regression Methods

Medium Term Load Forecasting for Jordan Electric Power System Using Particle Swarm Optimization Algorithm Based on Least Square Regression Methods Journal of Power and Energy Engneerng, 2017, 5, 75-96 http://www.scrp.org/journal/jpee ISSN Onlne: 2327-5901 ISSN Prnt: 2327-588X Medum Term Load Forecastng for Jordan Electrc Power System Usng Partcle

More information

RECENT years have witnessed a great interest in cognitive

RECENT years have witnessed a great interest in cognitive IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 30, NO. 11, DECEMBER 2012 2295 Prce-Based Jont Beamformng and Spectrum Management n Mult-Antenna Cogntve Rado Networks Dep N. Nguyen and Marwan Krunz

More information

Cod and climate: effect of the North Atlantic Oscillation on recruitment in the North Atlantic

Cod and climate: effect of the North Atlantic Oscillation on recruitment in the North Atlantic Ths appendx accompanes the artcle Cod and clmate: effect of the North Atlantc Oscllaton on recrutment n the North Atlantc Lef Chrstan Stge 1, Ger Ottersen 2,3, Keth Brander 3, Kung-Sk Chan 4, Nls Chr.

More information

Maximizing Lifetime of Sensor-Target Surveillance in Wireless Sensor Networks

Maximizing Lifetime of Sensor-Target Surveillance in Wireless Sensor Networks Maxmzng Lfetme of Sensor-Target Survellance n Wreless Sensor Networks Ha Lu, Xaowen Chu, Yu-Wng Leung Computer Scence, Hong Kong Baptst Unversty Xaohua Ja, Peng-Jun Wan Computer Scence, Cty Unversty of

More information

IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 62, NO. 8, AUGUST

IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 62, NO. 8, AUGUST IEEE TRANSACTIONS ON COMMUNICATIONS, VO. 62, NO. 8, AUGUST 2014 2773 Two Tme-Scale Cross-ayer Schedulng for Cellular/WAN Interworkng Amla Tharaperya Gamage, Student Member, IEEE, Hao ang, Member, IEEE,

More information

Introduction. (Received 08 January 2009; accepted 10 March 2009)

Introduction. (Received 08 January 2009; accepted 10 March 2009) 44. Creatng of the mathematcal model of a reslent support sprng type element and ts transfer functon from the nput and output mpulse responses V. Slvnskas, K. Slvnskas, A. Trumpa Vlnus Gedmnas Techncal

More information

Joint Data and Power Transfer Optimization for Energy Harvesting Mobile Wireless Networks

Joint Data and Power Transfer Optimization for Energy Harvesting Mobile Wireless Networks Jont Data and Power Transfer Optmzaton for Energy Harvestng Moble Wreless Networs Bassem Khalf, Bechr Hamdaou, Mahd Ben Ghorbel, Mohsen Guzan, and X Zhang Oregon State Unversty, Qatar Unversty, Texas A&M

More information

Joint Adaptive Modulation and Power Allocation in Cognitive Radio Networks

Joint Adaptive Modulation and Power Allocation in Cognitive Radio Networks I. J. Communcatons, etwork and System Scences, 8, 3, 7-83 Publshed Onlne August 8 n ScRes (http://www.scrp.org/journal/jcns/). Jont Adaptve Modulaton and Power Allocaton n Cogntve Rado etworks Dong LI,

More information

NETWORK 2001 Transportation Planning Under Multiple Objectives

NETWORK 2001 Transportation Planning Under Multiple Objectives NETWORK 200 Transportaton Plannng Under Multple Objectves Woodam Chung Graduate Research Assstant, Department of Forest Engneerng, Oregon State Unversty, Corvalls, OR9733, Tel: (54) 737-4952, Fax: (54)

More information

AN EFFICIENT ITERATIVE DFT-BASED CHANNEL ESTIMATION FOR MIMO-OFDM SYSTEMS ON MULTIPATH CHANNELS

AN EFFICIENT ITERATIVE DFT-BASED CHANNEL ESTIMATION FOR MIMO-OFDM SYSTEMS ON MULTIPATH CHANNELS AN FFICINT ITRATIV DFT-BASD CHANNL STIMATION FOR MIMO-OFDM SYSTMS ON MULTIPATH CHANNLS Jan Hafang Graduate Unversty of the Chnese Academy of Scences Insttute of Semconductors, CAS Beng, Chna hf@sem.ac.cn

More information

Research Article Semidefinite Relaxation Algorithm for Multisource Localization Using TDOA Measurements with Range Constraints

Research Article Semidefinite Relaxation Algorithm for Multisource Localization Using TDOA Measurements with Range Constraints Wreless Communcatons and Moble Computng Volume 2018, Artcle ID 9430180, 9 pages https://doorg/101155/2018/9430180 Research Artcle Semdefnte Relaxaton Algorthm for Multsource Localzaton Usng TDOA Measurements

More information

Outlier-Tolerant Kalman Filter of State Vectors in Linear Stochastic System

Outlier-Tolerant Kalman Filter of State Vectors in Linear Stochastic System (IJCS Internatonal Journal of dvanced Computer Scence and pplcatons, Vol., No., Outler-Tolerant Kalman Flter of State Vectors n Lnear Stochastc System HU Shaoln State Key Laboratory of stronautcs an, 74,

More information

1 GSW Multipath Channel Models

1 GSW Multipath Channel Models In the general case, the moble rado channel s pretty unpleasant: there are a lot of echoes dstortng the receved sgnal, and the mpulse response keeps changng. Fortunately, there are some smplfyng assumptons

More information

Optimal Placement of PMU and RTU by Hybrid Genetic Algorithm and Simulated Annealing for Multiarea Power System State Estimation

Optimal Placement of PMU and RTU by Hybrid Genetic Algorithm and Simulated Annealing for Multiarea Power System State Estimation T. Kerdchuen and W. Ongsakul / GMSARN Internatonal Journal (09) - Optmal Placement of and by Hybrd Genetc Algorthm and Smulated Annealng for Multarea Power System State Estmaton Thawatch Kerdchuen and

More information

DETERMINATION OF WIND SPEED PROFILE PARAMETERS IN THE SURFACE LAYER USING A MINI-SODAR

DETERMINATION OF WIND SPEED PROFILE PARAMETERS IN THE SURFACE LAYER USING A MINI-SODAR DETERMINATION OF WIND SPEED PROFILE PARAMETERS IN THE SURFACE LAYER USING A MINI-SODAR A. Coppalle, M. Talbaut and F. Corbn UMR 6614 CORIA, Sant Etenne du Rouvray, France INTRODUCTION Recent mprovements

More information

A MODIFIED DIFFERENTIAL EVOLUTION ALGORITHM IN SPARSE LINEAR ANTENNA ARRAY SYNTHESIS

A MODIFIED DIFFERENTIAL EVOLUTION ALGORITHM IN SPARSE LINEAR ANTENNA ARRAY SYNTHESIS A MODIFIED DIFFERENTIAL EVOLUTION ALORITHM IN SPARSE LINEAR ANTENNA ARRAY SYNTHESIS Kaml Dmller Department of Electrcal-Electroncs Engneerng rne Amercan Unversty North Cyprus, Mersn TURKEY kdmller@gau.edu.tr

More information

NATIONAL RADIO ASTRONOMY OBSERVATORY Green Bank, West Virginia SPECTRAL PROCESSOR MEMO NO. 25. MEMORANDUM February 13, 1985

NATIONAL RADIO ASTRONOMY OBSERVATORY Green Bank, West Virginia SPECTRAL PROCESSOR MEMO NO. 25. MEMORANDUM February 13, 1985 NATONAL RADO ASTRONOMY OBSERVATORY Green Bank, West Vrgna SPECTRAL PROCESSOR MEMO NO. 25 MEMORANDUM February 13, 1985 To: Spectral Processor Group From: R. Fsher Subj: Some Experments wth an nteger FFT

More information

EE 508 Lecture 6. Degrees of Freedom The Approximation Problem

EE 508 Lecture 6. Degrees of Freedom The Approximation Problem EE 508 Lecture 6 Degrees of Freedom The Approxmaton Problem Revew from Last Tme Desgn Strategy Theorem: A crcut wth transfer functon T(s) can be obtaned from a crcut wth normalzed transfer functon T n

More information

Network Reconfiguration in Distribution Systems Using a Modified TS Algorithm

Network Reconfiguration in Distribution Systems Using a Modified TS Algorithm Network Reconfguraton n Dstrbuton Systems Usng a Modfed TS Algorthm ZHANG DONG,FU ZHENGCAI,ZHANG LIUCHUN,SONG ZHENGQIANG School of Electroncs, Informaton and Electrcal Engneerng Shangha Jaotong Unversty

More information

RESOURCE CONTROL FOR HYBRID CODE AND TIME DIVISION SCHEDULING

RESOURCE CONTROL FOR HYBRID CODE AND TIME DIVISION SCHEDULING RESOURCE CONTROL FOR HYBRID CODE AND TIME DIVISION SCHEDULING Vaslos A. Srs Insttute of Computer Scence (ICS), FORTH and Department of Computer Scence, Unversty of Crete P.O. Box 385, GR 7 Heraklon, Crete,

More information

Joint Rate-Routing Control for Fair and Efficient Data Gathering in Wireless sensor Networks

Joint Rate-Routing Control for Fair and Efficient Data Gathering in Wireless sensor Networks Jont Rate-Routng Control for Far and Effcent Data Gatherng n Wreless sensor Networks Yng Chen and Bhaskar Krshnamachar Mng Hseh Department of Electrcal Engneerng Unversty of Southern Calforna Los Angeles,

More information

Planning of Relay Station Locations in IEEE (WiMAX) Networks

Planning of Relay Station Locations in IEEE (WiMAX) Networks Ths full text paper was peer revewed at the drecton of IEEE Communcatons Socety subject matter experts for publcaton n the WCNC 010 proceedngs. Plannng of Relay Staton Locatons n IEEE 0.16 (WMAX) Networks

More information

Spectrum Management and Power Allocation in. MIMO Cognitive Networks

Spectrum Management and Power Allocation in. MIMO Cognitive Networks Spectrum Management and Power Allocaton n 1 MIMO Cogntve Networks Dep N. Nguyen and Marwan Krunz Department of Electrcal and Computer Engneerng, Unversty of Arzona E-mal:{dnnguyen, krunz}@ece.arzona.edu

More information

Machine Learning in Production Systems Design Using Genetic Algorithms

Machine Learning in Production Systems Design Using Genetic Algorithms Internatonal Journal of Computatonal Intellgence Volume 4 Number 1 achne Learnng n Producton Systems Desgn Usng Genetc Algorthms Abu Quder Jaber, Yamamoto Hdehko and Rzauddn Raml Abstract To create a soluton

More information

Vectorless Analysis of Supply Noise Induced Delay Variation

Vectorless Analysis of Supply Noise Induced Delay Variation Vectorless Analyss of Supply Nose Induced Delay Varaton Sanjay Pant *, Davd Blaauw *, Vladmr Zolotov **, Savthr Sundareswaran **, Rajendran Panda ** {spant,blaauw}@umch.edu, {vladmr.zolotov,savthr.sundareswaran,rajendran.panda}@motorola.com

More information

A Novel Optimization of the Distance Source Routing (DSR) Protocol for the Mobile Ad Hoc Networks (MANET)

A Novel Optimization of the Distance Source Routing (DSR) Protocol for the Mobile Ad Hoc Networks (MANET) A Novel Optmzaton of the Dstance Source Routng (DSR) Protocol for the Moble Ad Hoc Networs (MANET) Syed S. Rzv 1, Majd A. Jafr, and Khaled Ellethy Computer Scence and Engneerng Department Unversty of Brdgeport

More information

Desensitized Kalman Filtering with Analytical Gain

Desensitized Kalman Filtering with Analytical Gain Desenstzed Kalman Flterng wth Analytcal Gan ashan Lou School of Electrc and Informaton Engneerng, Zhengzhou Unversty of Lght Industry, Zhengzhou, 45002, Chna, tayzan@sna.com Abstract: he possble methodologes

More information

Multi-focus Image Fusion Using Spatial Frequency and Genetic Algorithm

Multi-focus Image Fusion Using Spatial Frequency and Genetic Algorithm 0 IJCSNS Internatonal Journal of Computer Scence and Network Securty, VOL.8 No., February 008 Mult-focus Image Fuson Usng Spatal Frequency and Genetc Algorthm Jun Kong,, Kayuan Zheng,, Jngbo Zhang,,*,,

More information

Coordinating the Motions of Multiple Robots with Specified Trajectories

Coordinating the Motions of Multiple Robots with Specified Trajectories Coordnatng the Motons of Multple Robots wth Specfed Trajectores Srnvas Akella Seth Hutchnson Department of Computer Scence Beckman Insttute Rensselaer Polytechnc Insttute Unversty of Illnos, Urbana-Champagn

More information

A Novel GNSS Weak Signal Acquisition Using Wavelet Denoising Method

A Novel GNSS Weak Signal Acquisition Using Wavelet Denoising Method A Novel GNSS Weak Sgnal Acquston Usng Wavelet Denosng Method Jn Tan, Lu Yang, BeHang Unversty, P.R.Chna BIOGRAPHY Jn Tan s a post-doctor n School of Electronc and Informaton Engneerng, BeHang Unversty,

More information

Iterative Tuning Strategy for Setting Phase Splits in Traffic Signal Control

Iterative Tuning Strategy for Setting Phase Splits in Traffic Signal Control 24 IEEE 7th Internatonal Conference on Intellgent Transportaton Systems (ITSC) October 8-, 24. Qngdao, Chna Iteratve Tunng Strategy for Settng Phase Splts n Traffc Sgnal Control Yu Wang, Danwe Wang, Nan

More information

ECE315 / ECE515 Lecture 5 Date:

ECE315 / ECE515 Lecture 5 Date: Lecture 5 Date: 18.08.2016 Common Source Amplfer MOSFET Amplfer Dstorton Example 1 One Realstc CS Amplfer Crcut: C c1 : Couplng Capactor serves as perfect short crcut at all sgnal frequences whle blockng

More information

Side-Match Vector Quantizers Using Neural Network Based Variance Predictor for Image Coding

Side-Match Vector Quantizers Using Neural Network Based Variance Predictor for Image Coding Sde-Match Vector Quantzers Usng Neural Network Based Varance Predctor for Image Codng Shuangteng Zhang Department of Computer Scence Eastern Kentucky Unversty Rchmond, KY 40475, U.S.A. shuangteng.zhang@eku.edu

More information

A NSGA-II algorithm to solve a bi-objective optimization of the redundancy allocation problem for series-parallel systems

A NSGA-II algorithm to solve a bi-objective optimization of the redundancy allocation problem for series-parallel systems 0 nd Internatonal Conference on Industral Technology and Management (ICITM 0) IPCSIT vol. 49 (0) (0) IACSIT Press, Sngapore DOI: 0.776/IPCSIT.0.V49.8 A NSGA-II algorthm to solve a b-obectve optmzaton of

More information

Distributed and Optimal Reduced Primal-Dual Algorithm for Uplink OFDM Resource Allocation

Distributed and Optimal Reduced Primal-Dual Algorithm for Uplink OFDM Resource Allocation Dstrbuted and Optmal Reduced Prmal-Dual Algorthm for Uplnk OFDM Resource Allocaton Xaoxn Zhang, Lang Chen, Janwe Huang, Mnghua Chen, and Yupng Zhao Abstract Orthogonal frequency dvson multplexng OFDM s

More information

Opportunistic Beamforming for Finite Horizon Multicast

Opportunistic Beamforming for Finite Horizon Multicast Opportunstc Beamformng for Fnte Horzon Multcast Gek Hong Sm, Joerg Wdmer, and Balaj Rengarajan allyson.sm@mdea.org, joerg.wdmer@mdea.org, and balaj.rengarajan@gmal.com Insttute IMDEA Networks, Madrd, Span

More information

CDMA Uplink Power Control as a Noncooperative Game

CDMA Uplink Power Control as a Noncooperative Game Wreless Networks 8, 659 670, 2002 2002 Kluwer Academc Publshers. Manufactured n The Netherlands. CDMA Uplnk Power Control as a Noncooperatve Game TANSU APCAN, TAMER BAŞAR and R. SRIKANT Coordnated Scence

More information

Digital Transmission

Digital Transmission Dgtal Transmsson Most modern communcaton systems are dgtal, meanng that the transmtted normaton sgnal carres bts and symbols rather than an analog sgnal. The eect o C/N rato ncrease or decrease on dgtal

More information