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Criteria for Choosing Line Codes in Data Communication
ISTANBUL UNIVERSITY – YEAR : 2003 (843-857) JOURNAL OF ELECTRICAL & ELECTRONICS ENGINEERING VOLUME : 3 NUMBER : 2 CRITERIA FOR CHOOSING LINE CODES IN DATA COMMUNICATION Demir Öner Istanbul University, Engineering Faculty, Electrical and Electronics Engineering Department Avcılar, 34850, İstanbul, Turkey E-mail: [email protected] ABSTRACT In this paper, line codes used in data communication are investigated. The need for the line codes is emphasized, classification of line codes is presented, coding techniques of widely used line codes are explained with their advantages and disadvantages and criteria for chosing a line code are given. Keywords: Line codes, correlative coding, criteria for chosing line codes.. coding is either performed just before the 1. INTRODUCTION modulation or it is combined with the modulation process. The place of line coding in High-voltage-high-power pulse current The transmission systems is shown in Figure 1. purpose of applying line coding to digital signals before transmission is to reduce the undesirable The line coder at the transmitter and the effects of transmission medium such as noise, corresponding decoder at the receiver must attenuation, distortion and interference and to operate at the transmitted symbol rate. For this ensure reliable transmission by putting the signal reason, epecially for high-speed systems, a into a form that is suitable for the properties of reasonably simple design is usually essential. the transmission medium. For example, a sampled and quantized signal is not in a suitable form for transmission. Such a signal can be put 2. ISSUES TO BE CONSIDERED IN into a more suitable form by coding the LINE CODING quantized samples. -
Multilevel Sequences and Line Codes
COPYRIGHT AND CITATION CONSIDERATIONS FOR THIS THESIS/ DISSERTATION o Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. o NonCommercial — You may not use the material for commercial purposes. o ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. How to cite this thesis Surname, Initial(s). (2012) Title of the thesis or dissertation. PhD. (Chemistry)/ M.Sc. (Physics)/ M.A. (Philosophy)/M.Com. (Finance) etc. [Unpublished]: University of Johannesburg. Retrieved from: https://ujdigispace.uj.ac.za (Accessed: Date). MULTILEVEL SEQUENCES AND LINE CODES by LOUIS BOTHA Thesis submitted as partial fulfilment of the requirements for the degree MASTER OF ENGINEERING in ELECTRICAL AND ELECTRONIC ENGINEERING in the FACULTY OF ENGINEERING at the RAND AFRIKAANS UNIVERSITY SUPERVISOR: PROF HC FERREIRA MAY 1991 SUMMARY As the demand for high-speed data communications over conventional channels such as coaxial cables and twisted pairs grows, it becomes neccesary to optimize every aspect of the communication system at reasonable cost to meet this demand effectively. The choice of a line code is one of the most important aspects in the design of a communications system, as the line code determines the complexity, and thus also the cost, of several circuits in the system. It has become known in recent years that a multilevel line code is preferable to a binary code in cases where high-speed communications are desired. -
Optical Modulation for High Bit Rate Transport Technologies by Ildefonso M
Technology Note Optical Modulation for High Bit Rate Transport Technologies By Ildefonso M. Polo I October, 2009 Scope There are plenty of highly technical and extremely mathematical articles published about optical modulation formats, showing complex formulas, spectral diagrams and almost unreadable eye diagrams, which can be considered normal for every emerging technology. The main purpose of this article is to demystify optical modulation in a way that the rest of us can visualize and understand them. Nevertheless, some of these modulations are so complex that they can’t be properly represented in a simple time domain graph, so polar (constellation) or spherical coordinates are often used to represent the different states of the signal. Within this document some of these polar diagrams have been enhanced with the state diagram (blue) to indicate the possible transitions and logic. Introduction Back in the early ‘90s, copper lines moved from digital baseband line coding (e.g. 2B1Q, 4B3T, AMI, and HDB3, among others) to complex modulation schemes to increase speed, reach, and reliability. We were all skeptical that a technology like DSL would have been able to transmit 256 simultaneous QAM16 signals and achieve 8 Mbit/s. Today copper is already reaching the 155 Mbit/s mark. This is certainly a full circle. We moved from analog to digital transmission to increase data rates and reliability, and then we resorted to analog signals (through modulation) to carry digital information farther, faster and more reliably. Back then, 155 Mbit/s were only thought of for fiber optics transmission. It is also interesting to note that only a few years ago we seemed to be under the impression that ‘fiber optics offered an almost infinite amount of bandwidth’ or more than we would ever need. -
Chapter 1 Introduction
Chapter 1 Intro duction The advancement in multimedia applications and the development of the In- ternet have created a demand for high-sp eed digital communications. Sophisti- cated audio and video co ding metho ds have reduced the bit rate requirements for audio and video transmission. This in turn motivated the development of communication systems to achieve these requirements. Both technologies enabled high-quality audio and video transmission and intro duced a number of new applications for businesses and residential consumers. Key applications other than voice communications include Internet ac- cess, streaming audio, and broadcast video. Table 1.1 and 1.2 list several residential and business applications and their data rate requirements. Down- stream घfrom the service provider to the consumerङ and upstream घfrom the consumer to the service providerङ requirements are listed in separate columns b ecause some applications have asymmetric requirements. For example, video broadcasting is an asymmetric application requiring a fast downstream link but no upstream link. Table 1.1 shows that the residential consumer application requirements can be satis ed with a data rate of 3 Mb/s with the exception 1 Application downstream upstream data rate घkb/sङ data rate घkb/sङ Voice telephony 16{64 16{64 Internet access 14 { 3,000 14 { 384 Electronic Mail 9 { 128 9{ 64 High de nition TV 12,000 {24,000 0 Broadcast video 1,500 { 6,000 0 Music on demand 384 { 3,000 9 Videophone 128 { 1,500 128 { 1,500 Distance Learning 384 { 3,000 128 { 3,000 Database Access 14 { 384 9 Software download 384 { 3,000 9 Shop at home 128 { 1,500 9{ 64 Video games 64 { 1,500 64 { 1,500 Table 1.1: Some residential consumer applications and their upstream and downstream data rate requirements [1]. -
Line Coding” Mobile Communications Handbook Ed
LoCicero, J.L. & Patel, B.P. “Line Coding” Mobile Communications Handbook Ed. Suthan S. Suthersan Boca Raton: CRC Press LLC, 1999 c 1999byCRCPressLLC LineCoding 6.1 Introduction 6.2 CommonLineCodingFormats UnipolarNRZ(BinaryOn-OffKeying) • UnipolarRZ • Polar NRZ • PolarRZ[Bipolar,AlternateMarkInversion(AMI),or Pseudoternary] • ManchesterCoding(SplitPhaseorDigital Biphase) 6.3 AlternateLineCodes DelayModulation(MillerCode) • SplitPhase(Mark) • Biphase (Mark) • CodeMarkInversion(CMI) • NRZ(I) • BinaryN ZeroSubstitution(BNZS) • High-DensityBipolarN(HDBN) • TernaryCoding 6.4 MultilevelSignalling,PartialResponseSignalling,and DuobinaryCoding MultilevelSignalling • PartialResponseSignallingandDuobi- naryCoding JosephL.LoCicero 6.5 BandwidthComparison IllinoisInstituteofTechnology 6.6 ConcludingRemarks BhaskerP.Patel DefiningTerms IllinoisInstituteofTechnology References 6.1 Introduction Theterminologylinecodingoriginatedintelephonywiththeneedtotransmitdigitalinformation acrossacoppertelephoneline;morespecifically,binarydataoveradigitalrepeateredline.The conceptoflinecoding,however,readilyappliestoanytransmissionlineorchannel.Inadigitalcom- municationsystem,thereexistsaknownsetofsymbolstobetransmitted.Thesecanbedesignatedas {mi},i=1;2;:::;N,withaprobabilityofoccurrence{pi},i=1;2;:::;N,wherethesequentially transmittedsymbolsaregenerallyassumedtobestatisticallyindependent.Theconversionorcoding oftheseabstractsymbolsintoreal,temporalwaveformstobetransmittedinbasebandistheprocess oflinecoding.Sincethemostcommontypeoflinecodingisforbinarydata,suchawaveformcanbe -
2B1Q, 142–143 4B3T Modified Monitored State
Derickson.book Page 911 Thursday, November 8, 2007 11:11 AM Index 2B1Q, 142–143 optical sampling demonstrations, 427 4B3T modified monitored state (MMS43), optical waveform measurement techniques, 423 142–143 optical waveform sampling, 423–426 4B5B block substitution, 70–74 See also All-optical sampling implementations, 4B5B encoder efficiency, 89 experimental; Fiber FWM-based sampling 8B10B system, performance analysis of; Optical block substitution, 74–77 sampling principles; Sampling gate control words, 154, 162 implementations; Third-order nonlinearity- encoder efficiency, 89 based sampling; Timebase designs encoding rules, 862–872 All-optical sampling implementations, 10GBase control codes, 157 experimental 10GBase stress testing, 619–628 analog-to-digital conversion of acquired 10GBase-KR, 642, 651–654 samples, 480–482 10GBase-LR, 619 χ2-based sampling in bulk KTP, 482–484 10GBase-LRM, 634 χ2-based sampling using quasi-phase matching 64B66B encoder in PPLN, 484–486 code blocks, 160 χ3-based Kerr switch with parametric gain in control characters, 157 HNLF, 487–488 deserializer architecture, 158 χ3-based sampling system using XPM-induced frame structure, 161 frequency shift in HNLF, 486–487 scrambler, 162–163 coherent detection sampling (linear sampling), serializer architecture, 158 489–491 fiber FWM-based sampling in HNLF, 488–489 A gain-transparent ultrafast nonlinear interferometer, 489–490 Accelerated BER measurements, 192 optimization for 40 Gbit/s signals, 491–492 Active bias T, 122–123, 902–910 sampling pulse sources, 475–480 -
Introduction to Digital Communications System
Wireless Information Transmission System Lab. Introduction to Digital Communications System Institute of Communications Engineering National Sun Yat-sen University Recommended Books Digital Communications / Fourth Edition (textbook) -- John G. Proakis, McGraw Hill Communication Systems / 4th Edition -- Simon Haykin, John Wiley & Sons, Inc. Digital Communications – Fundamentals and Applications / 2nd Edition -- Bernard Sklar, Prentice Hall Principles of Communications / Fifth Edition -- Rodger E. Ziemer and William H. Tranter, John Wiley & Sons, Inc. Modern Digital and Analog Communication Systems -- B.P. Lathi, Holt, Rinehart and Winston, Inc. 2 Example of Communications System Local Loop Switch T1/E1 Facilities Mobile Switching Transmission Center Equipment regenerator Base Central Office A/D Conversion (Digitization) Station Local Loop SONET Switch T1/E1 Facilities M SDH U Transmission T1/E1 Facilities Equipment regenerator X Central Office A/D Conversion (Digitization) Local Loop Switch T1/E1 Facilities Transmission regenerator Equipment Mobile Central Office A/D Conversion Switching (Digitization) Center Public Switched Telephone Network (PSTN) Base Station 3 Basic Digital Communication Nomenclature Textual Message: information comprised of a sequence of characters. Binary Digit (Bit): the fundamental information unit for all digital systems. Symbol (mi where i=1,2,…M): for transmission of the bit stream; groups of k bits are combined to form new symbol from a finite set of M such symbols; M=2k. Digital Waveform: voltage or current -
Advanced Communications Project
Advanced Communications Project Technology Reference Document ELO DEV PM & EN H T C C R E A N E T S E Prepared for E R R The United States Coast Guard Research & Development Center U 1082 Shennecossett Rd. N D I R T A Groton, CT 06340-6096 E U D G S T T A S T E S C O A By VisiCom Laboratories Inc. 1198 Gulf Breeze Parkway Gulf Breeze, FL 32561 September 1993 EXECUTIVE SUMMARY This document is an updated version of the 1985 Technology Reference Document prepared for the U.S. Coast Guard Research and Development Center. It has fully incorporated the contents of the 1985 document. No attempt was made to perform any editorial changes on the 1985 material, with the sole exception of correcting any information which is no longer accurate or applicable due to the evolution of technology. The major changes to the document have been in the area of reorganization / style, the addition of new telecommunications technology information, and the inclusion of information regarding the U.S. navy Satellite Communications System. To provide an all encompassing technology document was beyond the scope of this particular effort. Consequently, the new technology introduced with this updated document has focused on selected topics which were considered by the authors to be of prime importance to U.S. Coast Guard personnel. The following technologies were selected: • Electromagnetic Frequency • Transmission Hardware Spectrum Technology • Over the Horizon Radio • Analog Modulation Communications • Digital Modulation • Radio Frequency Modulation • Information Coding/Processing • Communications Channel Multiplex/ Access • Communications Networks • Integrated Services Digital Network • Cellular Mobile Transmission • Satellite Communications • Computer Architecture Concepts • Security • Communications and Network • Fleet Satellite Communications Services • U.S. -
Ternary Line Codes and Their Efficiency
Ternary Line Codes and their Efficiency Bachelor Thesis by Thomas Schellekens June 2007. An early example of a line code: Morse code. From the British Admiralty's Handbook of Signalling, 1913. Abstract We collect and describe eleven ternary line codes from the literature, describe the criteria of line codes in general, and try to make a comparison of the selected line codes. We investigated the effect of runlength and digital sum variation constraints on the efficiency of a line code. Using previous research, we were able to obtain an exact result of the effect of runlength constraints on the efficiency. We made an approximation using an automated program of the effect of digital sum variation constraints on the efficiency. For the selected codes, the effect of runlength constraints on the efficiency is small. The digital sum variation constraints have a larger impact, resulting in a theoretical maximum efficiency of 63% for a digital sum variation of 1, saturating to > 95% theoretical maximum efficiency for digital sum variation values of 5 and higher. In general, the more constrained a code is, the less efficient it is. Good tradeoffs have to made between efficiency and runlength and dsv constraints. At the Chair for Design and Analysis of Communication Systems (DACS) at the University of Twente, the Netherlands. Supervised by Dr. Ir. Pieter-Tjerk de Boer Contents 1. Introduction to the assignment 3 1.1 Original and adjusted goal of this bachelorassignment 3 1.2 General structure of the text 4 2. Introduction to line coding 4 2.1 Definitions 4 2.2 Introduction 5 2.3 Two Approaches to line coding 6 3.