Optical Modulation for High Bit Rate Transport Technologies by Ildefonso M
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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. -
Presentation on Digital Communication (ECE) III- B.TECH V- Semester (AUTONOMOUS-R16) Prepared By, Dr. S.Vinoth Mr. G.Kiran
Presentation on Digital communication (ECE) III- B.TECH V- Semester (AUTONOMOUS-R16) Prepared by, Dr. S.Vinoth Mr. G.Kiran Kumar (Associate Professor) (Assistant Professor) UNIT -I Pulse Digital Modulation 2 COMMUNICATION •The transmission of information from source to the destination through a channel or medium is called communication. •Basic block diagram of a communication system: 3 COMMUNICATION cont.. • Source: analog or digital • Transmitter: transducer, amplifier, modulator, oscillator, power amp., antenna • Channel: e.g. cable, optical fiber, free space • Receiver: antenna, amplifier, demodulator, oscillator, power amplifier, transducer • Destination : e.g. person, (loud) speaker, computer 4 Necessity of Digital communication • Good processing techniques are available for digital signals, such as medium. • Data compression (or source coding) • Error Correction (or channel coding)(A/D conversion) • Equalization • Security • Easy to mix signals and data using digital techniques 5 Necessity of Digitalization •In Analog communication, long distance communication suffers from many losses such as distortion, interference & security. •To overcome these problems, signals are digitalized. Information is transferred in the form of signal. 6 PULSE MODULATION In Pulse modulation, a periodic sequence of rectangular pulses, is used as a carrier wave. It is divided into analog and digital modulation. 7 Analog Pulse Modulation In Analog modulation , If the amplitude, duration or position of a pulse is varied in accordance with the instantaneous values of the baseband modulating signal, then such a technique is called as • Pulse Amplitude Modulation (PAM) or • Pulse Duration/Width Modulation (PDM/PWM), or • Pulse Position Modulation (PPM). 8 Digital modulation •In Digital Modulation, the modulation technique used is Pulse Code Modulation (PCM) where the analog signal is converted into digital form of 1s and 0s. -
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. -
2.1 Fundamentals of Data and Signals the Major Function of the Physical
2.1 Fundamentals of Data and Signals The major function of the physical layer is to move data in the form of electromagnetic signals across a transmission medium. Whether the data may be numerical statistics from another computer, sending animated pictures from a design workstation, or causing a bell to ring at a distant control center, you are working with the transmission of data across network connections. Analog and Digital Data Data can be analog or digital. The term analog data refers to information that is continuous, Digital data refers to information that has discrete states. For example, an analog clock that has hour, minute, and second hands gives information in a continuous form, the movements of the hands are continuous. On the other hand, a digital clock that reports the hours and the minutes will change suddenly from 8:05 to 8:06. Analog and Digital Signals: An analog signal has infinitely many levels of intensity over a period of time. As the wave moves from value A to value B, it passes through and includes an infinite number of values along its path. A digital signal, on the other hand, can have only a limited number of defined values. Although each value can be any number, it is often as simple as 1 and 0. The following program illustrates an analog signal and a digital signal. The curve representing the analog signal passes through an infinite number of points. The vertical lines of the digital signal, however, demonstrate the sudden jump that the signal makes from value to value. -
UNIT: 3 Digital and Analog Transmission
UNIT: 3 Digital and Analog Transmission DIGITAL-TO-ANALOG CONVERSION Digital-to-analog conversion is the process of changing one of the characteristics of an analog signal based on the information in digital data. Figure 5.1 shows the relationship between the digital information, the digital-to-analog modulating process, and the resultant analog signal. A sine wave is defined by three characteristics: amplitude, frequency, and phase. When we vary anyone of these characteristics, we create a different version of that wave. So, by changing one characteristic of a simple electric signal, we can use it to represent digital data. Before we discuss specific methods of digital-to-analog modulation, two basic issues must be reviewed: bit and baud rates and the carrier signal. Aspects of Digital-to-Analog Conversion Before we discuss specific methods of digital-to-analog modulation, two basic issues must be reviewed: bit and baud rates and the carrier signal. Data Element Versus Signal Element Data element is the smallest piece of information to be exchanged, the bit. We also defined a signal element as the smallest unit of a signal that is constant. Data Rate Versus Signal Rate We can define the data rate (bit rate) and the signal rate (baud rate). The relationship between them is S= N/r baud where N is the data rate (bps) and r is the number of data elements carried in one signal element. The value of r in analog transmission is r =log2 L, where L is the type of signal element, not the level. Carrier Signal In analog transmission, the sending device produces a high-frequency signal that acts as a base for the information signal. -
Design of Return to Zero (RZ) Bipolar Digital to Digital Encoding Data Transmission
IOSR Journal of Engineering (IOSRJEN) www.iosrjen.org ISSN (e): 2250-3021, ISSN (p): 2278-8719 Vol. 05, Issue 02 (February. 2015), ||V4|| PP 33-36 Design of Return to Zero (RZ) Bipolar Digital to Digital Encoding Data Transmission Amna mohammed Elzain1,Abdelrasoul Jabar Alzubaidi2 Alazhery University- Engineering college Sudan University of Science and technology –Engineering College- Electronics Engineering School Abstract: - Line encoding is the method used to represent the digital information on the media. A pattern, that uses either voltage or current, is used to represent the 1s and 0s of the digital signal on the transmission link. Common types of line encoding methods used in data communications are: Unipolar line encoding, Polar line encoding, Bipolar line encoding and Manchester line encoding. This paper deals with the design of bipolar digital to digital encoding (RZ) data transmission using latch SN 74373, darlington amplifier ULN 2003-500 m A, solid state relay, personnel computer and Turbo C++ programming language ). Keywords: - Bipolar, Encoding, Digital to Digital, Latch SN 74373, Darlington Amplifier ULN 2003-500 m A, Solid State Relay (SSR) ,Turbo C++ , Computer. I. INTRODUCTION A computer network is used for communication of data from one station to another station in the network [1]. Data and signals are two of the basic building blocks of any computer network. Data must be encoded into signals before it can be transported across communication media [2]. Encoding means conversion of data into bit stream [3]. There are different encoding schemes available: Analog-to-Digital Digital-to-Analog Analog-to-Analog Digital-to-Digital Digital-to-Digital Digital-to-Digital encoding is the representation of digital information by a digital signal . -
Nalanda Open University Course Name: BCA Part II Paper-X (Computer Networking) Coordinator: A
Nalanda Open University Course Name: BCA Part II Paper-X (Computer Networking) Coordinator: A. N. Pandey E-mail ID : [email protected] E-CONTENT Topic- DATA ENCODING AND COMMUNICATION TECHNIQUE (Unit-3) 3.1 INTRODUCTION We knew that how data is transmitted through a channel (wired or wireless) in the form of an Analog or Digital signal. Now we will elaborate on the technique to produce these types of signals from analog to digital data. It is required that information must be encoded into signals before it can be transported across communication media. In more precise words we may say that the waveform pattern of voltage or current used to represent the 1s and 0s of a digital signal on a transmission link is called digital to digital line encoding. There are different encoding schemes (figure 1) available: Figure 1: Encoding Conversion Technique • Analog data as an analog signal: Analog data in electrical form can be transmitted as baseband signals easily and cheaply. This is done with voice transmission over voice-grade lines. One common use of modulation is to shift the bandwidth of a baseband signal to another portion of the spectrum. In this way multiple signals, each at a different position on the spectrum, can share the same transmission medium. This is known as frequency division multiplexing. • Analog data as a digital signal : Conversion of analog data to digital form permits the use of modern digital transmission and switching equipment. The advantages of the digital approach. • Digital data as an analog signal: Some transmission media, such as optical fiber and unguided media, will only propagate analog signals. -
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]. -
NRZ Coding RZ Coding
Analog and Digital Transmission • Data transmission through a LAN can be either Chapter 3 digital or analog. • Digital transmission includes the processes of line coding (converting binary data to digital Data signals) and sampling (converting analog data to digital signals). Transmission • AlAnalog transmiiission ildincludes modldulat ion of digital and analog signals. 1 2 Digital Signals Digital Signals • A digital signal can only have a limited number • The bit interval is the time required to send of values; it is discrete. The transition from one single bit. one value to another is instantaneous. • The bit rate is the number of bits sent in one second, usually expressed in bps. Figure 3.1 A Digital Signal • They are reciliprocal of each other BitRate = 1 / (BitInterval) BitInterval = 1 / (BitRate) 3 4 Figure 3-2 Bit Rate and Bit Interval Analog Signals • An analog signal can have an infinite number of values; it is continuous. The transition from one value to another is smooth. Figure 3 .3 An Analog Signal 5 6 Analog Signals Analog Signals • A periodic signal has a repeated pattern. • Sine waves can be described by 3 parameters: – e.g. the sine wave – Amplitude: vertical distance between a point on • An aperiodic signal has no repeating pattern. the wave and the horizontal axis – Period or frequency: time needed to complete a Figure 3 .4 A Sine Wave cycle or the number of periods in one second; they are inverse of each other – Phase: the position of the waveform relative to the time zero 7 8 Figure 3-5 Figure 3-6 Amplitude Period and Frequency 9 10 Figure 3-7 Relationship between Different Phases Time and Frequency Domains • In real applications, the signals are usually composite signals made of many sine waves with different ampp,litudes, freqq,uencies, and phases. -
Similarity Oriented Logic Simplification Between Unipolar Return to Zero and Manchester Codes
ISSN:2278 – 909X International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 5, Issue 7, July 2016 SIMILARITY ORIENTED LOGIC SIMPLIFICATION BETWEEN UNIPOLAR RETURN TO ZERO AND MANCHESTER CODES 1Remy K.O, PG Scholar inVLSI Design, 2Manju V.M Assistant Professor,ECE Department, 3Sindhu T.V Assistant Professor,ECE Department, IES college of Engineering, Thrissur, Kerala Abstract: The line codes are used for variety of applications. this encoding approach, the bit rate same as data rate. Polar The code diversity between Unipolar and Manchester code encoding technique uses two voltage levels ,one positive and seriously limits the potential to design a fully reused VLSI the other one negative. In Bipolar encoding techniques zero architecture.The combined architecture of both Manchester level is used to transmit the binary 0 and binary 1 is and unipolar RZ codes can be used for optical fiber represented by alternative positive and negative voltages[3]. communication and dedicated short range communications. In There are two formats are used to transmit the this paper, similarity oriented logic simplification is used to Unipolar or polar data, they are non return to zero and return exploits the characteristics of two codes and design a fully to zero formats. Non return to zero format, is the most reused VLSI architecture .This results can be used in various common and easiest way to transmit digital signals and it use applications. The result shows that sols technique improves two different voltage levels for the two binary digits. Usually a the hardware utilization ratio.SOLS improves hardware negative voltage is used to represent one binary value and a utilization ratio from 55% to 57%. -
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