Generalized Incomplete Trojan-Type Designs with Unequal Cell Sizes

Size: px
Start display at page:

Download "Generalized Incomplete Trojan-Type Designs with Unequal Cell Sizes"

Transcription

1 Internatonal Journal of Theoretcal & Appled Scences 6(1): 50-54(2014) ISSN No. (Prnt): ISSN No. (Onlne): Generalzed Incomplete Trojan-Type Desgns wth Unequal Cell Szes Cn Varghese, Seema Jagg and Eldho Varghese Indan Agrcultural Statstcs Research Insttute Lbrary Avenue, New Delh, INDIA (Correspondng author Cn Varghese) (Receved 15 December 2013, Accepted 21 March, 2014) ABSTRACT: Generalzed Incomplete Trojan-Type Desgns are row-column desgns n whch each cell, correspondng to the ntersecton of row and column, contans more than one treatment and the rows are ncomplete. In some expermental stuatons, t s not possble for the expermenter to have the row-column ntersectons of equal sze. Generalzed ncomplete Trojan-type desgns wth unequal cell szes are to be obtaned for such stuatons. In ths paper, a method of constructon of a seres of generalzed ncomplete Trojan-type desgn wth unequal cell szes has been developed. Key Words: Row-column desgn, Trojan-type desgn, Sem-Latn square, Unequal cell sze I. INTRODUCTION Row-column desgns (RCDs) are used n expermental stuatons when the heterogenety n the expermental materal s due to two cross classfed sources. Most commonly, the row-column desgns have only one unt correspondng to the ntersecton of each row and column. However, there may be nstances when the number of treatments s substantally large and a more general class of row-column desgns s requred wheren there s more than one unt n each row-column ntersecton. For example, consder a sensory tral to make a comparatve ratng of 12 food products that are presented to 3 panel members. The constrant here s that each member can assess a maxmum of 4 products n a sesson, more than whch may cause assessor fatgue. The ratng may vary from member to member and sesson to sesson and hence the panel members and sessons can be treated as row as well as column classfcatons. There are 3 rows and 3 columns, but the number of products to be rated s 12 and hence each row-column ntersecton has to be further dvded nto 4 sub-sessons or cells. Sem-Latn square, a generalzed row-column desgn wth n rows and n columns wheren the ntersecton of each row and each column contans a cell of k subdvons resultng n nk cells each row and each column, s approprate for such an expermental stuaton. Thus, each row and each column s complete. Darby and Glbert [1] descrbed Trojan squares based on sets of mutually orthogonal supermposed Latn squares as a specal class of sem-latn squares. These desgns are shown to be maxmally effcent desgns for par-wse treatment comparsons n the plots-wthnblocks stratum by Baley [2]. Some combnatoral propertes of sem-latn squares and related desgns were dscussed by Preece and Freeman [3]. Baley [4, 2] obtaned a range of sem- Latn and Trojan square desgns and showed that the Trojan squares are the optmal choce of sem-latn squares for par-wse comparsons of treatment means. Incomplete Trojan squares obtaned by omttng a sngle row from a complete Trojan square have been dscussed by Edmondson [5], whch are of consderable practcal utlty, when there s a lmtaton of resources. Edmondson [6] constructed generalzed ncomplete Trojan square desgns based on a set of cyclc generators. Some methods of constructon of sem-latn squares were gven by Bedford and Whtaker [7]. Further, Baley and Monod [8] gave some effcent sem-latn rectangles useful for plant dsease experments. Subsequently, Dharmalngam [9] used Trojan square desgn to obtan partal trallel crosses. Jagg et al. [10] defned Generalzed Incomplete Trojan-Type Desgns n whch each cell, correspondng to the ntersecton of row and column, contans more than one treatment and the rows are ncomplete. They have developed a method of constructng these desgns. These desgns are avalable for any number of treatments 6 wth flexblty n choosng the cell sze dependng on the expermental resources avalable. Many tmes, t s not possble for the expermenter to have the row-column ntersectons of equal sze. Generalzed ncomplete Trojan-type desgns wth unequal cell szes are sutable for such stuatons. Here, a method of constructon of a seres of generalzed ncomplete Trojan-type desgn wth dfferent cell szes has been developed.

2 II. GENERALIZED INCOMPLETE TROJAN- TYPE DESIGNS Defnton (Jagg et al., [10]): Consder an array wth m rows and n columns n whch each ntersecton of row and column s dvded nto k sub-unts formng a total of mnk sub-unts n all. A Generalzed Incomplete Trojan-Type desgn s an arrangement of v treatments n mnk sub-unts, such that each treatment occurs n every column α ( 2) tmes, n every row β tmes (β = 0 or 1) and on every sub-unt γ tmes (γ = 0 or 1). A general method of constructng generalzed ncomplete Trojan-Type desgns wth unequal cell szes s explaned n the subsequent secton. III. METHOD OF CONSTRUCTION OF GENERALIZED INCOMPLETE TROJAN-TYPE DESIGN Let there be v treatments (v > 5) denoted by 1,2,, v. Arrange the frst s treatments 5 s (v-1) n the frst row of the desgn. Varghese, Jagg and Varghese v v v v Group these s treatments nto n groups (n 2) of szes n k, = 1, 2,, n, ( k = s ) such that at least one or = 1 all of the groups are of dfferent sze. Each group of treatments belongs to a cell n the frst row of the desgn. Now develop (v-1) more rows of the desgn cyclcally, column-wse, by addng 1 to the treatment n the prevous row (reduced mod v). Thus, we get a generalzed ncomplete Trojan-type desgn wth cell szes k for v treatments n m = v rows of sze s and n columns of sze vk. There are several ways to form the n cells n the frst row and hence one can obtan a number of desgns wth dfferent set of parameters for a gven number of treatments, v. Example 3.1: Let there be v = 8 treatments. Further let s = 7 and n = 2. Takng k 1 = 5 and k 2 = 2, the generalzed ncomplete Trojan-type desgn s obtaned n 8 rows and 2 columns as: The nformaton matrx C = The nformaton matrx of treatment effects and the varances pertanng to estmated elementary treatment contrasts under a four-way classfed model were computed by wrtng a SAS code. The elementary treatment contrasts are estmated wth three types of varances, vz., , and The average varance s calculated as

3 Varghese, Jagg and Varghese 52 For 8 treatments, takng s = 6, n = 2, k 1 = 4 and k 2 = 2, the followng desgn s obtaned: v v v v v The nformaton matrx C = The varances are , 857, and and average varance s 884. Agan, one can have a generalzed ncomplete Trojan-type desgn n 8 rows and 2 columns havng two dfferent cell szes k 1 = 4 and k 2 = 3 as gven below: v v v v

4 Varghese, Jagg and Varghese 53 The nformaton matrx C = The varances pertanng to estmated elementary treatment contrasts are , , 268 and 489 and the average varance s Another arrangement of 8 treatments s gven below n 8 rows and 3 columns havng three dfferent cell szes k 1 = k 2 = 2 and k 3 = 3: v v v v The nformaton matrx C = The varances are 055, , and gvng an average varance of A generalzed ncomplete Trojan-type desgn n 8 rows and 2 columns havng cell szes k 1 = 3 and k 2 = 2 can be obtaned for 8 treatments as: v v v v v

5 Varghese, Jagg and Varghese 54 The nformaton matrx C = There are 4 types of varances, vz., , , and and the average varance had turned out to be It can be seen that for a fxed total row sze, f the cells are formed such that there are less number of cells wth bgger cell szes, the varance s less. The more the number of cells, the more s the varance for a gven row sze. REFERENCES [1]. L.A. Darby and N. Glbert, The Trojan Square. Euphytca, 7, (1958). [2]. R.A. Baley, Effcent sem-latn squares. Statstca Snca, 2, (1992). [3]. D.A. Preece and G.H. Freeman, Sem-Latn squares and related desgns. J. R. Statst. Soc., B45, (1983). [4]. R.A. Baley, Sem-Latn squares. J. Statst. Plan. Inf., 18, (1988). [5]. R.N. Edmondson, Trojan square and ncomplete Trojan square desgn for crop research. J. Agrc. Scences, 131, (1998). [6]. R.N. Edmondson, Generalsed ncomplete Trojan desgns. Bometrka, 89(4), (2002). [7]. D. Bedford and R.M. Whtaker, A new constructon for effcent sem Latn squares. J. Statst. Plan. Inf., 98, (2001). [8]. R.A. Baley and H. Monod, Effcent sem-latn rectangles: Desgns for plant dsease experments. Scand. J. Statst., 28, (2001). [9]. M. Dharmalngam, Constructon of partal trallel crosses based on Trojan square desgn. J. Appled Statst., 29(5), (2002). [10]. S. Jagg, C. Varghese, E. Varghese and V.K. Sharma, Generalzed ncomplete Trojan-type desgns. Statstcs and Probablty Letters, 80, (2010).

Analysis of Time Delays in Synchronous and. Asynchronous Control Loops. Bj rn Wittenmark, Ben Bastian, and Johan Nilsson

Analysis of Time Delays in Synchronous and. Asynchronous Control Loops. Bj rn Wittenmark, Ben Bastian, and Johan Nilsson 37th CDC, Tampa, December 1998 Analyss of Delays n Synchronous and Asynchronous Control Loops Bj rn Wttenmark, Ben Bastan, and Johan Nlsson emal: bjorn@control.lth.se, ben@control.lth.se, and johan@control.lth.se

More information

Tile Values of Information in Some Nonzero Sum Games

Tile Values of Information in Some Nonzero Sum Games lnt. ournal of Game Theory, Vot. 6, ssue 4, page 221-229. Physca- Verlag, Venna. Tle Values of Informaton n Some Nonzero Sum Games By P. Levne, Pars I ), and ZP, Ponssard, Pars 2 ) Abstract: The paper

More information

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

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

Parameter Free Iterative Decoding Metrics for Non-Coherent Orthogonal Modulation

Parameter Free Iterative Decoding Metrics for Non-Coherent Orthogonal Modulation 1 Parameter Free Iteratve Decodng Metrcs for Non-Coherent Orthogonal Modulaton Albert Gullén Fàbregas and Alex Grant Abstract We study decoder metrcs suted for teratve decodng of non-coherently detected

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

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

Rational Secret Sharing without Broadcast

Rational Secret Sharing without Broadcast Ratonal Secret Sharng wthout Broadcast Amjed Shareef, Department of Computer Scence and Engneerng, Indan Insttute of Technology Madras, Chenna, Inda. Emal: amjedshareef@gmal.com Abstract We use the concept

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

Control Chart. Control Chart - history. Process in control. Developed in 1920 s. By Dr. Walter A. Shewhart

Control Chart. Control Chart - history. Process in control. Developed in 1920 s. By Dr. Walter A. Shewhart Control Chart - hstory Control Chart Developed n 920 s By Dr. Walter A. Shewhart 2 Process n control A phenomenon s sad to be controlled when, through the use of past experence, we can predct, at least

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

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

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

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

Fall 2018 #11 Games and Nimbers. A. Game. 0.5 seconds, 64 megabytes

Fall 2018 #11 Games and Nimbers. A. Game. 0.5 seconds, 64 megabytes 5-95 Fall 08 # Games and Nmbers A. Game 0.5 seconds, 64 megabytes There s a legend n the IT Cty college. A student that faled to answer all questons on the game theory exam s gven one more chance by hs

More information

Target Response Adaptation for Correlation Filter Tracking

Target Response Adaptation for Correlation Filter Tracking 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

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

Malicious User Detection in Spectrum Sensing for WRAN Using Different Outliers Detection Techniques

Malicious User Detection in Spectrum Sensing for WRAN Using Different Outliers Detection Techniques Malcous User Detecton n Spectrum Sensng for WRAN Usng Dfferent Outlers Detecton Technques Mansh B Dave #, Mtesh B Nakran #2 Assstant Professor, C. U. Shah College of Engg. & Tech., Wadhwan cty-363030,

More information

Hierarchical Generalized Cantor Set Modulation

Hierarchical Generalized Cantor Set Modulation 8th Internatonal Symposum on Wreless Communcaton Systems, Aachen Herarchcal Generalzed Cantor Set Modulaton Smon Görtzen, Lars Schefler, Anke Schmenk Informaton Theory and Systematc Desgn of Communcaton

More information

MTBF PREDICTION REPORT

MTBF PREDICTION REPORT MTBF PREDICTION REPORT PRODUCT NAME: BLE112-A-V2 Issued date: 01-23-2015 Rev:1.0 Copyrght@2015 Bluegga Technologes. All rghts reserved. 1 MTBF PREDICTION REPORT... 1 PRODUCT NAME: BLE112-A-V2... 1 1.0

More information

Review: Our Approach 2. CSC310 Information Theory

Review: Our Approach 2. CSC310 Information Theory CSC30 Informaton Theory Sam Rowes Lecture 3: Provng the Kraft-McMllan Inequaltes September 8, 6 Revew: Our Approach The study of both compresson and transmsson requres that we abstract data and messages

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

Uncertainty in measurements of power and energy on power networks

Uncertainty in measurements of power and energy on power networks Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:

More information

Resource Allocation Optimization for Device-to- Device Communication Underlaying Cellular Networks

Resource Allocation Optimization for Device-to- Device Communication Underlaying Cellular Networks Resource Allocaton Optmzaton for Devce-to- Devce Communcaton Underlayng Cellular Networks Bn Wang, L Chen, Xaohang Chen, Xn Zhang, and Dacheng Yang Wreless Theores and Technologes (WT&T) Bejng 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

Space Time Equalization-space time codes System Model for STCM

Space Time Equalization-space time codes System Model for STCM Space Tme Eualzaton-space tme codes System Model for STCM The system under consderaton conssts of ST encoder, fadng channel model wth AWGN, two transmt antennas, one receve antenna, Vterb eualzer wth deal

More information

Guidelines for CCPR and RMO Bilateral Key Comparisons CCPR Working Group on Key Comparison CCPR-G5 October 10 th, 2014

Guidelines for CCPR and RMO Bilateral Key Comparisons CCPR Working Group on Key Comparison CCPR-G5 October 10 th, 2014 Gudelnes for CCPR and RMO Blateral Key Comparsons CCPR Workng Group on Key Comparson CCPR-G5 October 10 th, 2014 These gudelnes are prepared by CCPR WG-KC and RMO P&R representatves, and approved by CCPR,

More information

Secure Transmission of Sensitive data using multiple channels

Secure Transmission of Sensitive data using multiple channels Secure Transmsson of Senstve data usng multple channels Ahmed A. Belal, Ph.D. Department of computer scence and automatc control Faculty of Engneerng Unversty of Alexandra Alexandra, Egypt. aabelal@hotmal.com

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

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

In-system Jitter Measurement Based on Blind Oversampling Data Recovery

In-system Jitter Measurement Based on Blind Oversampling Data Recovery RADIOENGINEERING, VOL. 1, NO. 1, APRIL 01 403 In-system Jtter Measurement Based on Blnd Oversamplng Data Recovery Mchal KUBÍČEK, Zdeněk KOLKA Dept. of Rado Electroncs, Brno Unversty of Technology, Purkyňova

More information

Evaluate the Effective of Annular Aperture on the OTF for Fractal Optical Modulator

Evaluate the Effective of Annular Aperture on the OTF for Fractal Optical Modulator Global Advanced Research Journal of Management and Busness Studes (ISSN: 2315-5086) Vol. 4(3) pp. 082-086, March, 2015 Avalable onlne http://garj.org/garjmbs/ndex.htm Copyrght 2015 Global Advanced Research

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

aperture David Makovoz, 30/01/2006 Version 1.0 Table of Contents

aperture David Makovoz, 30/01/2006 Version 1.0 Table of Contents aperture 1 aperture Davd Makovoz, 30/01/2006 Verson 1.0 Table of Contents aperture... 1 1 Overvew... 2 1.1 Input Image Requrements... 2 2 aperture... 2 2.1 Input... 2 2.2 Processng... 4 2.3 Output Table...

More information

A Simple Satellite Exclusion Algorithm for Advanced RAIM

A Simple Satellite Exclusion Algorithm for Advanced RAIM A Smple Satellte Excluson Algorthm for Advanced RAIM Juan Blanch, Todd Walter, Per Enge Stanford Unversty ABSTRACT Advanced Recever Autonomous Integrty Montorng s a concept that extends RAIM to mult-constellaton

More information

THEORY OF YARN STRUCTURE by Prof. Bohuslav Neckář, Textile Department, IIT Delhi, New Delhi. Compression of fibrous assemblies

THEORY OF YARN STRUCTURE by Prof. Bohuslav Neckář, Textile Department, IIT Delhi, New Delhi. Compression of fibrous assemblies THEORY OF YARN STRUCTURE by Prof. Bohuslav Neckář, Textle Department, IIT Delh, New Delh. Compresson of fbrous assembles Q1) What was the dea of fbre-to-fbre contact accordng to van Wyk? A1) Accordng to

More information

California, 4 University of California, Berkeley

California, 4 University of California, Berkeley Dversty Processng WCDMA Cell earcher Implementaton Ahmed M. Eltawl, Eugene Grayver 2, Alreza Targhat, Jean Francos Frgon, Kambz hoarnejad, Hanl Zou 3 and Danjela Cabrc 4 Unversty of Calforna, Los Angeles,

More information

A Benchmark for D2D in Cellular Networks: The Importance of Information

A Benchmark for D2D in Cellular Networks: The Importance of Information A Benchmark for D2D n Cellular Networks: The Importance of Informaton Yğt Özcan, Catherne Rosenberg Unversty of Waterloo {yozcan,cath}@uwaterloo.ca Fabrce Gullemn Orange Labs, France fabrce.gullemn@orange.com

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

Cascaded Bayesian Inferencing for Switching Activity Estimation with Correlated Inputs

Cascaded Bayesian Inferencing for Switching Activity Estimation with Correlated Inputs IEEE Transactons On VLSI, Vol. XX, No. Y, 2004 1 Cascaded Bayesan Inferencng for tchng Actvty Estmaton wth Correlated Inputs Sanjukta Bhanja and N. Ranganathan, Fellow of IEEE Abstract In ths work, we

More information

Chapter 1. On-line Choice of On-line Algorithms. Yossi Azar Andrei Z. Broder Mark S. Manasse

Chapter 1. On-line Choice of On-line Algorithms. Yossi Azar Andrei Z. Broder Mark S. Manasse Chapter On-lne Choce of On-lne Algorthms Yoss Azar Andre Z. Broder Mark S. Manasse Abstract Let fa ; A 2; ; Amg be a set of on-lne algorthms for a problem P wth nput set I. We assume that P can be represented

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

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

State Description of Wireless Channels Using Change-Point Statistical Tests

State Description of Wireless Channels Using Change-Point Statistical Tests 3 JOURNAL OF INTERNET ENGINEERING, VOL., NO., JANUARY 27 State Descrpton of Wreless Channels Usng Change-Pont Statstcal Tests Dmtr Moltchanov, Yevgen Koucheryavy, and Jarmo Harju Abstract Wreless channels

More information

Range-Based Localization in Wireless Networks Using Density-Based Outlier Detection

Range-Based Localization in Wireless Networks Using Density-Based Outlier Detection Wreless Sensor Network, 010,, 807-814 do:10.436/wsn.010.11097 Publshed Onlne November 010 (http://www.scrp.org/journal/wsn) Range-Based Localzaton n Wreless Networks Usng Densty-Based Outler Detecton Abstract

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

Efficient Large Integers Arithmetic by Adopting Squaring and Complement Recoding Techniques

Efficient Large Integers Arithmetic by Adopting Squaring and Complement Recoding Techniques The th Worshop on Combnatoral Mathematcs and Computaton Theory Effcent Large Integers Arthmetc by Adoptng Squarng and Complement Recodng Technques Cha-Long Wu*, Der-Chyuan Lou, and Te-Jen Chang *Department

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

Low Switching Frequency Active Harmonic Elimination in Multilevel Converters with Unequal DC Voltages

Low Switching Frequency Active Harmonic Elimination in Multilevel Converters with Unequal DC Voltages Low Swtchng Frequency Actve Harmonc Elmnaton n Multlevel Converters wth Unequal DC Voltages Zhong Du,, Leon M. Tolbert, John N. Chasson, Hu L The Unversty of Tennessee Electrcal and Computer Engneerng

More information

ph fax

ph fax www.customron.com ph 800.732.7699 fax 507.732.7837 Balusters, pckets, spndles these are the bones of a star ralng system. At Custom Iron, we commonly refer to these as balusters. And, uncommonly, we nvent

More information

A Predictive QoS Control Strategy for Wireless Sensor Networks

A Predictive QoS Control Strategy for Wireless Sensor Networks The 1st Worshop on Resource Provsonng and Management n Sensor Networs (RPMSN '5) n conjuncton wth the 2nd IEEE MASS, Washngton, DC, Nov. 25 A Predctve QoS Control Strategy for Wreless Sensor Networs Byu

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

Available online at ScienceDirect. IFAC-PapersOnLine (2016)

Available online at   ScienceDirect. IFAC-PapersOnLine (2016) Avalable onlne at www.scencedrect.com ScenceDrect IFACPapersOnLne 49 (06) 09 0 Addng Informatonal Belefs to the Players Strategc Thnkng Model 06, IFAC (Internatonal Federaton of Automatc Control) Hostng

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

Figure.1. Basic model of an impedance source converter JCHPS Special Issue 12: August Page 13

Figure.1. Basic model of an impedance source converter JCHPS Special Issue 12: August Page 13 A Hgh Gan DC - DC Converter wth Soft Swtchng and Power actor Correcton for Renewable Energy Applcaton T. Selvakumaran* and. Svachdambaranathan Department of EEE, Sathyabama Unversty, Chenna, Inda. *Correspondng

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

Impact of Interference Model on Capacity in CDMA Cellular Networks. Robert Akl, D.Sc. Asad Parvez University of North Texas

Impact of Interference Model on Capacity in CDMA Cellular Networks. Robert Akl, D.Sc. Asad Parvez University of North Texas Impact of Interference Model on Capacty n CDMA Cellular Networks Robert Akl, D.Sc. Asad Parvez Unversty of North Texas Outlne Introducton to CDMA networks Average nterference model Actual nterference model

More information

Joint Power Control and Scheduling for Two-Cell Energy Efficient Broadcasting with Network Coding

Joint Power Control and Scheduling for Two-Cell Energy Efficient Broadcasting with Network Coding Communcatons and Network, 2013, 5, 312-318 http://dx.do.org/10.4236/cn.2013.53b2058 Publshed Onlne September 2013 (http://www.scrp.org/journal/cn) Jont Power Control and Schedulng for Two-Cell Energy Effcent

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

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

LOCAL DECODING OF WALSH CODES TO REDUCE CDMA DESPREADING COMPUTATION

LOCAL DECODING OF WALSH CODES TO REDUCE CDMA DESPREADING COMPUTATION LOCAL DECODING OF WALSH CODES TO REDUCE CDMA DESPREADING COMPUTATION Albert M. Chan, Jon Feldman, and Raghu Madyastha (Vanu, Inc., Cambrdge, MA, USA, {chanal,jonfeld,raghu}@vanu.com); Potr Indyk and Davd

More information

Inverse Halftoning Method Using Pattern Substitution Based Data Hiding Scheme

Inverse Halftoning Method Using Pattern Substitution Based Data Hiding Scheme Proceedngs of the World Congress on Engneerng 2011 Vol II, July 6-8, 2011, London, U.K. Inverse Halftonng Method Usng Pattern Substtuton Based Data Hdng Scheme Me-Y Wu, Ja-Hong Lee and Hong-Je Wu Abstract

More information

Dynamic Lightpath Protection in WDM Mesh Networks under Wavelength Continuity Constraint

Dynamic Lightpath Protection in WDM Mesh Networks under Wavelength Continuity Constraint Dynamc Lghtpath Protecton n WDM Mesh etworks under Wavelength Contnuty Constrant Shengl Yuan* and Jason P. Jue *Department of Computer and Mathematcal Scences, Unversty of Houston Downtown One Man Street,

More information

Energy Efficiency Analysis of a Multichannel Wireless Access Protocol

Energy Efficiency Analysis of a Multichannel Wireless Access Protocol Energy Effcency Analyss of a Multchannel Wreless Access Protocol A. Chockalngam y, Wepng u, Mchele Zorz, and Laurence B. Mlsten Department of Electrcal and Computer Engneerng, Unversty of Calforna, San

More information

Cooperative perimeter surveillance with a team of mobile robots under communication constraints

Cooperative perimeter surveillance with a team of mobile robots under communication constraints 213 IEEE/RSJ Internatonal Conference on Intellgent Robots and Systems (IROS) November 3-7, 213. Toyo, Japan Cooperatve permeter survellance wth a team of moble robots under communcaton constrants J.J.

More information

Algorithms Airline Scheduling. Airline Scheduling. Design and Analysis of Algorithms Andrei Bulatov

Algorithms Airline Scheduling. Airline Scheduling. Design and Analysis of Algorithms Andrei Bulatov Algorthms Arlne Schedulng Arlne Schedulng Desgn and Analyss of Algorthms Andre Bulatov Algorthms Arlne Schedulng 11-2 The Problem An arlne carrer wants to serve certan set of flghts Example: Boston (6

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

High Speed, Low Power And Area Efficient Carry-Select Adder

High Speed, Low Power And Area Efficient Carry-Select Adder Internatonal Journal of Scence, Engneerng and Technology Research (IJSETR), Volume 5, Issue 3, March 2016 Hgh Speed, Low Power And Area Effcent Carry-Select Adder Nelant Harsh M.tech.VLSI Desgn Electroncs

More information

A New Type of Weighted DV-Hop Algorithm Based on Correction Factor in WSNs

A New Type of Weighted DV-Hop Algorithm Based on Correction Factor in WSNs Journal of Communcatons Vol. 9, No. 9, September 2014 A New Type of Weghted DV-Hop Algorthm Based on Correcton Factor n WSNs Yng Wang, Zhy Fang, and Ln Chen Department of Computer scence and technology,

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

A study of turbo codes for multilevel modulations in Gaussian and mobile channels

A study of turbo codes for multilevel modulations in Gaussian and mobile channels A study of turbo codes for multlevel modulatons n Gaussan and moble channels Lamne Sylla and Paul Forter (sylla, forter)@gel.ulaval.ca Department of Electrcal and Computer Engneerng Laval Unversty, Ste-Foy,

More information

Power-Constrained Test Scheduling for Multi-Clock Domain SoCs

Power-Constrained Test Scheduling for Multi-Clock Domain SoCs Power-Constraned Test Schedulng for Mult-Clock Doman SoCs Tomokazu Yoneda, Kmhko Masuda and Hdeo Fujwara Graduate School of Informaton Scence, Nara Insttute of Scence and Technology Kansa Scence Cty, 63-192,

More information

STATISTICS. is given by. i i. = total frequency, d i. = x i a ANIL TUTORIALS. = total frequency and d i. = total frequency, h = class-size

STATISTICS. is given by. i i. = total frequency, d i. = x i a ANIL TUTORIALS. = total frequency and d i. = total frequency, h = class-size STATISTICS ImPORTANT TERmS, DEFINITIONS AND RESULTS l The mean x of n values x 1, x 2, x 3,... x n s gven by x1+ x2 + x3 +... + xn x = n l mean of grouped data (wthout class-ntervals) () Drect method :

More information

sensors ISSN

sensors ISSN Sensors 009, 9, 8593-8609; do:10.3390/s91108593 Artcle OPEN ACCESS sensors ISSN 144-80 www.mdp.com/journal/sensors Dstrbuted Envronment Control Usng Wreless Sensor/Actuator Networks for Lghtng Applcatons

More information

SCORE-BASED ADAPTIVE TRAINING FOR P300 SPELLER BRAIN-COMPUTER INTERFACE Yuan Zou, Omid Dehzangi, Roozbeh Jafari

SCORE-BASED ADAPTIVE TRAINING FOR P300 SPELLER BRAIN-COMPUTER INTERFACE Yuan Zou, Omid Dehzangi, Roozbeh Jafari SCORE-BASED ADAPTIVE TRAINING FOR P300 SPELLER BRAIN-COMPUTER INTERFACE Yuan Zou, Omd Dehzang, Roozbeh Jafar Department of Electrcal Engneerng, Unversty of Texas at Dallas, Rchardson, TX 75080, USA ABSTRACT

More information

Fault Classification and Location on 220kV Transmission line Hoa Khanh Hue Using Anfis Net

Fault Classification and Location on 220kV Transmission line Hoa Khanh Hue Using Anfis Net Journal of Automaton and Control Engneerng Vol. 3, No. 2, Aprl 2015 Fault Classfcaton and Locaton on 220kV Transmsson lne Hoa Khanh Hue Usng Anfs Net Vu Phan Huan Electrcal Testng Central Company Lmtted,

More information

Uplink User Selection Scheme for Multiuser MIMO Systems in a Multicell Environment

Uplink User Selection Scheme for Multiuser MIMO Systems in a Multicell Environment Uplnk User Selecton Scheme for Multuser MIMO Systems n a Multcell Envronment Byong Ok Lee School of Electrcal Engneerng and Computer Scence and INMC Seoul Natonal Unversty leebo@moble.snu.ac.kr Oh-Soon

More information

A MODIFIED DIRECTIONAL FREQUENCY REUSE PLAN BASED ON CHANNEL ALTERNATION AND ROTATION

A MODIFIED DIRECTIONAL FREQUENCY REUSE PLAN BASED ON CHANNEL ALTERNATION AND ROTATION A MODIFIED DIRECTIONAL FREQUENCY REUSE PLAN BASED ON CHANNEL ALTERNATION AND ROTATION Vncent A. Nguyen Peng-Jun Wan Ophr Freder Computer Scence Department Illnos Insttute of Technology Chcago, Illnos vnguyen@t.edu,

More information

Index Terms Adaptive modulation, Adaptive FEC, Packet Error Rate, Performance.

Index Terms Adaptive modulation, Adaptive FEC, Packet Error Rate, Performance. ANALYTICAL COMPARISON OF THE PERFORMANCE OF ADAPTIVE MODULATION AND CODING IN WIRELESS NETWORK UNDER RAYLEIGH FADING 723 Sab Y.M. BANDIRI, Rafael M.S. BRAGA and Danlo H. SPADOTI Federal Unversty of Itajubá

More information

On Sensor Fusion in the Presence of Packet-dropping Communication Channels

On Sensor Fusion in the Presence of Packet-dropping Communication Channels On Sensor Fuson n the Presence of Packet-droppng Communcaton Channels Vjay Gupta, Babak Hassb, Rchard M Murray Abstract In ths paper we look at the problem of multsensor data fuson when data s beng communcated

More information

Optimizing Transmission Lengths for Limited Feedback with Non-Binary LDPC Examples

Optimizing Transmission Lengths for Limited Feedback with Non-Binary LDPC Examples Optmzng Transmsson Lengths for Lmted Feedbac wth on-bnary LDPC Examples Kasra Valna, Sudarsan V. S. Ranganathan, Darush Dvsalar*, and Rchard D. Wesel Department of Electrcal Engneerng, Unversty of Calforna,

More information

Modelling Service Time Distribution in Cellular Networks Using Phase-Type Service Distributions

Modelling Service Time Distribution in Cellular Networks Using Phase-Type Service Distributions Modellng Servce Tme Dstrbuton n Cellular Networks Usng Phase-Type Servce Dstrbutons runa Jayasurya, Davd Green, John senstorfer Insttute for Telecommuncaton Research, Cooperatve Research Centre for Satellte

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

Performance of Some Ridge Parameters for Probit Regression:

Performance of Some Ridge Parameters for Probit Regression: Performance of Some Rdge Parameters for Probt Regresson: wth Applcaton on Swedsh Job Search Data Håkan Lockng 1, Krstofer Månsson and Ghaz Shukur 1, 1 Department of Economcs and Statstcs, Lnnaeus Unversty,

More information

Calculation of the received voltage due to the radiation from multiple co-frequency sources

Calculation of the received voltage due to the radiation from multiple co-frequency sources Rec. ITU-R SM.1271-0 1 RECOMMENDATION ITU-R SM.1271-0 * EFFICIENT SPECTRUM UTILIZATION USING PROBABILISTIC METHODS Rec. ITU-R SM.1271 (1997) The ITU Radocommuncaton Assembly, consderng a) that communcatons

More information

N( E) ( ) That is, if the outcomes in sample space S are equally likely, then ( )

N( E) ( ) That is, if the outcomes in sample space S are equally likely, then ( ) Stat 400, secton 2.2 Axoms, Interpretatons and Propertes of Probablty notes by Tm Plachowsk In secton 2., we constructed sample spaces by askng, What could happen? Now, n secton 2.2, we begn askng and

More information

arxiv: v1 [cs.it] 30 Sep 2008

arxiv: v1 [cs.it] 30 Sep 2008 A CODED BIT-LOADING LINEAR PRECODED DISCRETE MULTITONE SOLUTION FOR POWER LINE COMMUNICATION Fahad Syed Muhammmad*, Jean-Yves Baudas, Jean-Franços Hélard, and Mattheu Crussère Insttute of Electroncs and

More information

N- and P-Channel 2.5-V (G-S) MOSFET

N- and P-Channel 2.5-V (G-S) MOSFET S456DY N- and P-Channel.5-V (G-S) MOSFET PRODUCT SUMMARY V DS (V) R DS(on) (Ω) (A).5 at 7. N-Channel.35 at V GS =.5 V 6. FEATURES Halogen-free Accordng to IEC 649-- Defnton TrenchFET Power MOSFET:.5 Rated

More information

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 5, NO. 3, MARCH Transactions Letters

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 5, NO. 3, MARCH Transactions Letters IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 5, NO. 3, MARCH 006 48 Transactons Letters BER Analyss of QAM on Fadng Channels wth Transmt Dversty M. Surendra Raju, Ramesh Annavajjala, Student Member,

More information

Spectrum Auction Framework for Access Allocation in Cognitive Radio Networks

Spectrum Auction Framework for Access Allocation in Cognitive Radio Networks Spectrum Aucton Framework for Access Allocaton n Cogntve Rado Networks ABSTRACT Gaurav S. Kasbekar Department of Electrcal and Systems Engneerng Unversty of Pennsylvana kgaurav@seas.upenn.edu Cogntve rado

More information

A thesis presented to. the faculty of. the Russ College of Engineering and Technology of Ohio University. In partial fulfillment

A thesis presented to. the faculty of. the Russ College of Engineering and Technology of Ohio University. In partial fulfillment Crcular Trells based Low Densty Party Check Codes A thess presented to the faculty of the Russ College of Engneerng and Technology of Oho Unversty In partal fulfllment of the requrements for the degree

More information

An Algorithm Forecasting Time Series Using Wavelet

An Algorithm Forecasting Time Series Using Wavelet IJCSI Internatonal Journal of Computer Scence Issues, Vol., Issue, No, January 04 ISSN (Prnt): 94-084 ISSN (Onlne): 94-0784 www.ijcsi.org 0 An Algorthm Forecastng Tme Seres Usng Wavelet Kas Ismal Ibraheem,Eman

More information

Electricity Network Reliability Optimization

Electricity Network Reliability Optimization Electrcty Network Relablty Optmzaton Kavnesh Sngh Department of Engneerng Scence Unversty of Auckland New Zealand kav@hug.co.nz Abstract Electrcty dstrbuton networks are subject to random faults. On occurrence

More information

Revision of Lecture Twenty-One

Revision of Lecture Twenty-One Revson of Lecture Twenty-One FFT / IFFT most wdely found operatons n communcaton systems Important to know what are gong on nsde a FFT / IFFT algorthm Wth the ad of FFT / IFFT, ths lecture looks nto OFDM

More information

RC Filters TEP Related Topics Principle Equipment

RC Filters TEP Related Topics Principle Equipment RC Flters TEP Related Topcs Hgh-pass, low-pass, Wen-Robnson brdge, parallel-t flters, dfferentatng network, ntegratng network, step response, square wave, transfer functon. Prncple Resstor-Capactor (RC)

More information

Application of Linear Discriminant Analysis to Doppler Classification

Application of Linear Discriminant Analysis to Doppler Classification Applcaton of Lnear Dscrmnant Analyss to Doppler Classfcaton M. Jahangr QnetQ St Andrews Road, Malvern WORCS, UK, WR14 3PS Unted Kngdom mjahangr@qnetq.com ABSTRACT In ths wor the author demonstrated a robust

More information

Quantifying Content Consistency Improvements Through Opportunistic Contacts

Quantifying Content Consistency Improvements Through Opportunistic Contacts Unversty of Pennsylvana ScholarlyCommons Departmental Papers (ESE) Department of Electrcal & Systems Engneerng 8-12-29 Quantfyng Content Consstency Improvements Through Opportunstc Contacts Kn-Wah Kwong

More information

On Interference Alignment for Multi-hop MIMO Networks

On Interference Alignment for Multi-hop MIMO Networks 013 Proceedngs IEEE INFOCOM On Interference Algnment for Mult-hop MIMO Networks Huacheng Zeng Y Sh Y. Thomas Hou Wenng Lou Sastry Kompella Scott F. Mdkff Vrgna Polytechnc Insttute and State Unversty, USA

More information

On Channel Estimation of OFDM-BPSK and -QPSK over Generalized Alpha-Mu Fading Distribution

On Channel Estimation of OFDM-BPSK and -QPSK over Generalized Alpha-Mu Fading Distribution Int. J. Communcatons, Network and System Scences, 010, 3, 380-384 do:10.436/jcns.010.34048 Publshed Onlne Aprl 010 (http://www.scrp.org/journal/jcns/) On Channel Estmaton of OFDM-BPSK and -QPSK over Generalzed

More information

Discussion on How to Express a Regional GPS Solution in the ITRF

Discussion on How to Express a Regional GPS Solution in the ITRF 162 Dscusson on How to Express a Regonal GPS Soluton n the ITRF Z. ALTAMIMI 1 Abstract The usefulness of the densfcaton of the Internatonal Terrestral Reference Frame (ITRF) s to facltate ts access as

More information