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Modern Data Communications: Analog and Digital Signals PDF

175 Pages·2012·1.02 MB·English
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DataTransmission Codes AnalogandDigitalSignals Compression Dataintegrity Powerlinecommunications Modern Data Communications: Analog and Digital Signals, Compression, Data Integrity Cristian S. Calude July-August 2012 ModernDataCommunications 1/177 DataTransmission Codes AnalogandDigitalSignals Compression Dataintegrity Powerlinecommunications C. Calude thanks to Nevil Brownlee, Ulrich Speidel and Clark Thomborson for stimulating discussions and critical comments. ModernDataCommunications 2/177 DataTransmission Codes AnalogandDigitalSignals Compression Dataintegrity Powerlinecommunications Goals Understand digital and analog signals Understand codes and encoding schemes Understand compression, its applications and limits Understand codes for error detection and correction ModernDataCommunications 3/177 DataTransmission Codes AnalogandDigitalSignals Compression Dataintegrity Powerlinecommunications References 1 B. A. Forouzan. Data Communications and Networking, McGraw Hill, 4th edition, New York, 2007. 2 W. A. Shay. Understanding Data Communications and Networks, 3rd edition, Brooks/Cole, Pacific Grove, CA, 2004. ModernDataCommunications 4/177 DataTransmission Codes AnalogandDigitalSignals Compression Dataintegrity Powerlinecommunications Pictures All pictures included and not explicitly attributed have been taken from the instructor’s documents accompanying Forouzan and Shay textbooks. ModernDataCommunications 5/177 DataTransmission Codes AnalogandDigitalSignals Compression Dataintegrity Powerlinecommunications Factors determining data transmission cost of a connection amount of information transmitted per unit of time (bit rate) immunity to outside interference (noise) security (susceptibility to unauthorised “listening”, modification, interruption, or channel usage) logistics (organising the wiring, power, and other physical requirements of a data connection) mobility (moving the station) ModernDataCommunications 6/177 We need to have procedures to convert analog signals into digital signals and conversely. DataTransmission Codes AnalogandDigitalSignals Compression Dataintegrity Powerlinecommunications Analog and digital signals Connected devices have to “understand” each other to be able to communicate. Communication standards assure that communicating devices represent and send information in a “compatible way”. There are two types of ways to transmit data: via digital signals, which can be represented either electronically (by sequences of specified voltage levels) or optically, via analog signals, which are formed by continuously varying voltage levels. ModernDataCommunications 7/177 DataTransmission Codes AnalogandDigitalSignals Compression Dataintegrity Powerlinecommunications Digital signals 1 Digital signals are graphically represented as a square wave: the horizontal axis represents time and the vertical axis represents the voltage level. ModernDataCommunications 8/177 DataTransmission Codes AnalogandDigitalSignals Compression Dataintegrity Powerlinecommunications Digital signals 2 The alternating high and low voltage levels may be symbolically represented by 0s and 1s. This is the simplest way to represent a binary string (bit-string). Each 0 or 1 is called a bit. Various codes combine bits to represent information stored in a computer. ModernDataCommunications 9/177 DataTransmission Codes AnalogandDigitalSignals Compression Dataintegrity Powerlinecommunications Analog signals PCs often communicate via modems over telephone lines using analog signals which are formed by continuously varying voltage levels: ModernDataCommunications 10/177

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Analog and Digital Signals. Compression. Data integrity. Powerline communications. References. 1. B. A. Forouzan. Data Communications and Networking,.
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