Performance Evaluation of Power Spectral Density of Different Line Coding Technique
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Telecommunications—Page 1
Commerce Control List Supplement No. 1 to Part 774 Category 5 - Telecommunications—page 1 CATEGORY 5 – NS applies to 5A001.b NS Column 2 TELECOMMUNICATIONS AND (except .b.5), .c, .d, .f “INFORMATION SECURITY” (except f.3), and .g. Part 1 – TELECOMMUNICATIONS SL applies to 5A001.f.1 A license is required for all destinations, as Notes: specified in §742.13 of the EAR. Accordingly, 1. The control status of “components,” test a column specific to and “production” equipment, and “software” this control does not therefor which are “specially designed” for appear on the telecommunications equipment or systems is Commerce Country determined in Category 5, Part 1. Chart (Supplement No. 1 to Part 738 of the N.B.: For “lasers” “specially designed” for EAR). telecommunications equipment or systems, see ECCN 6A005. Note to SL paragraph: This licensing 2. “Digital computers”, related equipment requirement does not or “software”, when essential for the operation supersede, nor does it and support of telecommunications equipment implement, construe or described in this Category, are regarded as limit the scope of any “specially designed” “components,” provided criminal statute, they are the standard models customarily including, but not supplied by the manufacturer. This includes limited to the Omnibus operation, administration, maintenance, Safe Streets Act of engineering or billing computer systems. 1968, as amended. AT applies to entire AT Column 1 entry A. “END ITEMS,” “EQUIPMENT,” “ACCESSORIES,” “ATTACHMENTS,” Reporting Requirements “PARTS,” “COMPONENTS,” AND “SYSTEMS” See § 743.1 of the EAR for reporting requirements for exports under License Exceptions, and Validated End-User 5A001 Telecommunications systems, authorizations. equipment, “components” and “accessories,” as follows (see List of Items Controlled). -
Shahabi-Adib-Masc-ECE-August
A New Line Code for a Digital Communication System by Adib Shahabi Submitted in partial fulfilment of the requirements for the degree of Master of Applied Science at Dalhousie University Halifax, Nova Scotia August 2019 © Copyright by Adib Shahabi, 2019 To my wife Shahideh ii TABLE OF CONTENTS LIST OF TABLES ............................................................................................................ v LIST OF FIGURES .......................................................................................................... vi ABSTRACT ....................................................................................................................viii LIST OF ABBREVIATIONS USED ............................................................................... ix ACKNOWLEDGEMENTS ............................................................................................... x CHAPTER 1 INTRODUCTION ....................................................................................... 1 1.1 BACKGROUND ........................................................................................... 1 1.2 THESIS SYNOPSIS ...................................................................................... 4 1.3 ORGANIZATION OF THE THESIS ............................................................ 5 CHAPTER 2 MODELLING THE LINE CHANNEL ....................................................... 7 2.1 CABLE MODELLING .................................................................................. 7 2.2 TRANSFORMER COUPLING .................................................................. -
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. -
Telematics Chapter 3: Physical Layer
Telematics User Server watching with video Chapter 3: Physical Layer video clip clips Application Layer Application Layer Presentation Layer Presentation Layer Session Layer Session Layer Transport Layer Transport Layer Network Layer Network Layer Network Layer Data Link Layer Data Link Layer Data Link Layer Physical Layer Physical Layer Physical Layer Univ.-Prof. Dr.-Ing. Jochen H. Schiller Computer Systems and Telematics (CST) Institute of Computer Science Freie Universität Berlin http://cst.mi.fu-berlin.de Contents ● Design Issues ● Theoretical Basis for Data Communication ● Analog Data and Digital Signals ● Data Encoding ● Transmission Media ● Guided Transmission Media ● Wireless Transmission (see Mobile Communications) ● The Last Mile Problem ● Multiplexing ● Integrated Services Digital Network (ISDN) ● Digital Subscriber Line (DSL) ● Mobile Telephone System Univ.-Prof. Dr.-Ing. Jochen H. Schiller ▪ cst.mi.fu-berlin.de ▪ Telematics ▪ Chapter 3: Physical Layer 3.2 Design Issues Univ.-Prof. Dr.-Ing. Jochen H. Schiller ▪ cst.mi.fu-berlin.de ▪ Telematics ▪ Chapter 3: Physical Layer 3.3 Design Issues ● Connection parameters ● mechanical OSI Reference Model ● electric and electronic Application Layer ● functional and procedural Presentation Layer ● More detailed ● Physical transmission medium (copper cable, Session Layer optical fiber, radio, ...) ● Pin usage in network connectors Transport Layer ● Representation of raw bits (code, voltage,…) Network Layer ● Data rate ● Control of bit flow: Data Link Layer ● serial or parallel transmission of bits Physical Layer ● synchronous or asynchronous transmission ● simplex, half-duplex, or full-duplex transmission mode Univ.-Prof. Dr.-Ing. Jochen H. Schiller ▪ cst.mi.fu-berlin.de ▪ Telematics ▪ Chapter 3: Physical Layer 3.4 Design Issues Transmitter Receiver Source Transmission System Destination NIC NIC Input Abcdef djasdja dak jd ashda kshd akjsd asdkjhasjd as kdjh askjda Univ.-Prof. -
LVDS Application and Data Handbook
LVDS Application and Data Handbook High-Performance Linear Products Technical Staff Literature Number: SLLD009 November 2002 Printed on Recycled Paper IMPORTANT NOTICE Texas Instruments Incorporated and its subsidiaries (TI) reserve the right to make corrections, modifications, enhancements, improvements, and other changes to its products and services at any time and to discontinue any product or service without notice. Customers should obtain the latest relevant information before placing orders and should verify that such information is current and complete. All products are sold subject to TI’s terms and conditions of sale supplied at the time of order acknowledgment. TI warrants performance of its hardware products to the specifications applicable at the time of sale in accordance with TI’s standard warranty. Testing and other quality control techniques are used to the extent TI deems necessary to support this warranty. Except where mandated by government requirements, testing of all parameters of each product is not necessarily performed. TI assumes no liability for applications assistance or customer product design. Customers are responsible for their products and applications using TI components. To minimize the risks associated with customer products and applications, customers should provide adequate design and operating safeguards. TI does not warrant or represent that any license, either express or implied, is granted under any TI patent right, copyright, mask work right, or other TI intellectual property right relating to any combination, machine, or process in which TI products or services are used. Information published by TI regarding third–party products or services does not constitute a license from TI to use such products or services or a warranty or endorsement thereof. -
CODING for Transmission
CODING for Transmission Professor Izzat Darwazeh Head of Communicaons and Informaon System Group University College London [email protected] Acknowledgement: Dr A. Chorti, Princeton University for slides on FEC coding Dr P.Moreira, CERN, for slides on the CERN Gigabit Transmitter (GBT) Dr J. Mitchell, UCL, for the sampled music and voice. June 2011 Coding • Defini7ons and basic concepts • Source coding • Line coding • Error control coding Digital Line System Message Message source Distortion, sink interference Input Output signal and noise signal Encoder- Demodulator modulator -decoder Communication Transmitted channel Received signal signal Claude Shannon • Shannon’s Theorem predicts reliable communicaon in the presence of noise “Given a discrete, memoryless channel with capacity C, and a source with a posi8ve rate R (R<C), there exist a code such that the output of the source can be transmi@ed over the channel with an arbitrarily small probability of error.” • B is the channel bandwidth in Hz and S/N is the signal power to noise power rao ⎛⎞S CBc =+log2 ⎜⎟ 1 ⎝⎠N Types of Coding • Source Coding – Encoding the raw data • Line (or channel) Coding – Formang of the data stream to benefit transmission • Error Detec7on Coding – Detec7on of errors in the data seQuence • Error Correcon Coding – Detec7on and Correc7on of Errors • Spread Spectrum Coding – Used for wireless communicaons Signals and sources: Discrete - Con8nuous m(t) n Continuous Time and Amplitude n Discrete Time, continuous Amplitude – PAM signal n Discrete Time, and Amplitude -
HP Probook 440 G6 Notebook PC Quickspecs
HP ProBook 440 G6 Notebook PC QuickSpecs Overview HP ProBook 440 G6 Notebook PC Left 1. Internal Microphones (2) 6. SD Card Reader 2. Webcam 7. Thermal Vent 3. Webcam LED 8. USB 2.0 Port 4. Clickpad 9. Standard Security Lock Slot (Lock sold separately) 5. Hard Drive LED 10. Power Button Not all configuration components are available in all regions/countries. c06142920 — DA 16311 - Worldwide — Version 19 — April 22, 2020 Page 1 HP ProBook 440 G6 Notebook PC QuickSpecs Overview Right 1. Power Connector 5. USB 3.1 Gen 1 Port 2. USB Type-C™ 3.1 Gen 1 Port 6. USB 3.1 Gen 1 Port 3. Ethernet Port (RJ-45) 7. Headphone/Microphone Combo Jack 4. HDMI Port (Cable not included) 8. HP Fingerprint Sensor (select models) Not all configuration components are available in all regions/countries. c06142920 — DA 16311 - Worldwide — Version 19 — April 22, 2020 Page 2 HP ProBook 440 G6 Notebook PC QuickSpecs Overview At a Glance • Preinstall with Windows 10 versions or FreeDOS 3.0 • Choice of 8th Generation Intel® Core™ i7, i5, i3 processors • Display include your choice of 35.56 cm (14.0") diagonal HD, Ultra Wide Viewing Angle FHD, Touch or Non-Touch • Optional Nvidia GeForce MX250 and MX130 with 2 GB GDDR5 dedicated video memory or integrated Intel® HD Graphics 610 or Intel® UHD 620 • Enhanced security features including TPM2.0, HP BIOSphere, Hardware enforced Firmware Protection, HP Fingerprint Sensor3 (select models) and optional IR camera • Passed 19 items of MIL-STD 810G testing plus an additional 120,000 hours of reliability testing through HP's Total -
Episode 3.11 – Polar and Bipolar Line Coding
Episode 3.11 – Polar and Bipolar Line Coding Welcome to the Geek Author series on Computer Organization and Design Fundamentals. I’m David Tarnoff, and in this series we are working our way through the topics of Computer Organization, Computer Architecture, Digital Design, and Embedded System Design. If you’re interested in the inner workings of a computer, then you’re in the right place. The only background you’ll need for this series is an understanding of integer math, and if possible, a little experience with a programming language such as Java. And one more thing. Our topics involve a bit of figuring, so it might help to keep a pencil and paper handy. In Episode 3.10, we looked at the electrical connection between two digital devices and saw two ways we could use a positive voltage and a zero voltage level to code the logic zeros and logic ones of our data. This unipolar scheme had a disadvantage. The capacitance of a conductor could cause the signal voltage levels to drift toward the positive voltage making it difficult to identify when the transmitted signal was supposed to be zero volts. To solve the drift problem, some physical lines use polar signaling. In this case, the zero volt level is replaced with a voltage that is equal in magnitude and opposite in polarity to the positive voltage. Bipolar signaling is a further extension of polar signaling. Bipolar brings back the zero volt level along with the positive or high level and the negative or low level so that there are three electrical levels. -
Comparative Analysis Between NRZ and RZ Coding of WDM System
ISSN (Online) 2278-1021 IJARCCE ISSN (Print) 2319 5940 International Journal of Advanced Research in Computer and Communication Engineering Vol. 5, Issue 6, June 2016 Comparative Analysis between NRZ and RZ Coding of WDM System Supinder Kaur1, Simarpreet Kaur2 M.Tech Student, ECE Department, Baba Banda Singh Bahadur Engineering College, Fatehgarh Sahib, India1 Assistant Professor, ECE Department, Baba Banda Singh Bahadur Engineering College, Fatehgarh Sahib, India2 Abstract: An ameliorated performance of optical wireless transmission system is obtained from wireless system which deploys the lengthy fibers. Inter-satellite links are necessary between satellites in orbits around the earth for data transmission and also for orderly data relay from one satellite to other and then to ground stations. Inter-satellite Optical Wireless Communication bestows the use of wireless optical communication using lasers instead of conventional radio and microwave systems. Optical communication using lasers cater many benefits over conventional radio frequency systems. The utmost complication existing in this wireless optical communication for inter-satellite links is the affects of satellite vibration, which leads to severe pointing errors that degrade the performance. Performance of this system also depends on numerous parameters such as transmitted power, data rate and antenna aperture which are analyzed using Opti-System simulation software. The main objective of this is to introduce WDM in existing ISOWC system to improve the system capability, to implement Model with different coding NRZ and RZ, to propose a new approach for increasing system capability for multi users and also analysis the Performance parameters like BER, Q-factor of optical systems. Keywords: BER, FSO, Inter Satellite Link (ISL), IsOWC, Q-factor, Return-to-zero(RZ), Non Return-to-zero(NRZ). -
MODULE III SIGNAL ENCODING TECHNIQUES WS 148 for Digital
MODULE III SIGNAL ENCODING TECHNIQUES WS 148 For digital signaling, a data source g(t), which may be either digital or analog, is encoded into a digital signal x(t).The actual form of x(t) depends on the encoding technique and is chosen to optimize use of the transmission medium. The basis for analog signaling is a continuous constant-frequency signal known as the carrier signal. Modulation is the process of encoding source data onto a carrier signal with frequency All modulation techniques involve operation on one or more of the three fundamental frequency domain parameters: amplitude, frequency, and phase. The input signal m(t) may be analog or digital and is called the modulating signal or baseband signal. The result of modulating the carrier signal is called the modulated signal s(t). It is a bandlimited (bandpass) signal. The location of the bandwidth on the spectrum is related to fc and is often centered on fc. Both analog and digital information can be encoded as either analog or digital signals. 1. Digital data, Digital signal 2. Digital data, Analog signal 3. Analog data, Digital signal 4. Analog data, Analog signal DIGITAL DATA, DIGITAL SIGNAL The simplest form of digital encoding of digital data is to assign one voltage level to binary one and another to binary zero. A digital signal is a sequence of discrete, discontinuous voltage pulses. Each pulse is a signal element. Binary data are transmitted by encoding each data bit into signal elements. Binary 1 is represented by a lower voltage level and binary 0 by a higher voltage level. -
Analog Signal Is Unknown in Advance the Form Is Known in Advance Each Relay Amplifies Both the Signal and the Noise
Signal Transmission Fundamentals Advanced Computing and Networking Introduction Joint master program Skoltech and CMC MSU Prof. R. Smelyanskiy Signals, Data, Transmission • Data - a description of facts, phenomena • Signals - presentation of data during transmission • Transmission is the process of interaction between a transmitter and a receiver in order to transmit a signal. Data Signals • Origin data can take many forms • Signals - analog vs digital - analog vs digital • Analog data: voice video • Discrete data (digital) - text: letter, symbol - picture: pixel AC&N Prof. R. Smelyanskiy 14-Sep-20 2 The mathematical representation of the signal AC&N Prof. R. Smelyanskiy 14-Sep-20 3 Signal spectrum AC&N Prof. R. Smelyanskiy 14-Sep-20 4 Fourier transformation Euler's formula Euler's formula AC&N Prof. R. Smelyanskiy 14-Sep-20 5 Discrete Fourier Transformation Direct Fourier Transformation: N is the number of signal values measured over a period, as well as the number of decomposition components; xn, n = 0, ..., N - 1, are the measured signal values (in discrete time N - 1), which are input data for direct transformation and output for the inverse one; Xk, (k = 0, ..., N – 1 are the indexes of the amplitudes in a complex form of the sinusoidal signals composing the original Invers Fourier Transformation : one) are output for direct conversion and input for inverse; since the amplitudes are complex, then they can be used to calculate both the amplitude and phase; k is the frequency index. The frequency of the k-th signal is k / T, where T is the period of time during which the input data was taken. -
Implementation of Transmitter and Receiver of V.34 High Speed Modem in Half Duplex Mode
ISSN: 2278 – 909X International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 5, Issue 9, September 2016 Implementation of Transmitter and Receiver of v.34 High Speed Modem in Half Duplex Mode. K. Satish Kumar, M.Tech student,P. S. Chakravarthi, M.Tech student,T. Naveen M.Tech Student,P.Satyanarayana, Asst.Proffesor, VRSEC,G.Chakravarthy, Asst.Proffesor, VRSEC. Abstract— Communication plays a vital role in Modems that are being used at present are built development of society. For data communication, around imported processors. The intension behind modem is a key component. Modem is a combination this project is to develop a half-duplex modem of transmitter and receiver. Transmitter transfer the using DSP processor and make communication information to the destination i.e., receiver and receiver will receive it. This paper deals with possible. implementation of ITU-T V.34 communication protocol on the TMS320 DSP Processor. In this modem QAM modulation technique is used for II.MOTIVATION AND BACKGROUND modulation, trellis encoder is used to get the coding gain. The modem implemented in C code and then dumped in the processor, the outputs of the modem The main idea of V.34 recommendation is to shown in results.Here it is an asynchronous digital attain high data signaling rate by using the same subscriber line (ADSL) modem, which is used for old GSTNs. This up gradation in communication is both data and voice communication. due to the advancement in coding techniques. Modem that can transmit data quickly and reliable Index Terms—transmitter, receiver, ADSL modem, over telephone lines is preferred [2].