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Modulation and Encoding: Transmitting Digital Signals, Slides of Computer Networks

The concepts of modulation and encoding in digital communication. Modulation refers to the process of converting digital bits into analog signals using amplitude, phase, or frequency. Encoding is required for clock recovery and synchronization, with various methods such as nrz, nrzi, manchester encoding, and differential encoding. The document also covers the physical layer, data rate, and shannon's theorem.

Typology: Slides

2012/2013

Uploaded on 04/27/2013

banoo
banoo 🇮🇳

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Download Modulation and Encoding: Transmitting Digital Signals and more Slides Computer Networks in PDF only on Docsity! Modulation and Encoding • Modulation – Amplitude • Two amplitudes to represent a 0 and 1 – phase • Two phases to represent a 0 and 1 – Frequency • Two frequencies to represent a 0 and 1 Docsity.com amplitude modulation frequency modulation phase modulation 1 0 1 1 Docsity.com 0 0 1 0 1 1 1 0 0 0 middle high to low low to high NRZ 00 1 0 1 1 1 1 0 1 NRZI Docsity.com Manchester coding: Used in Ethernet EXOR of clock and NRZ 0 0 1 0 1 1 1 0 0 0 clock clock Manchester Docsity.com Physical Layer • Xmitter/Rcvr – Trasmitter/receiver • Amp/rep – amplifier/repeater Xmitter/ Revr Medium Amp/ rep Medium Xmitter/ Revr Docsity.com Data Rate • Example: Signal takes one of 0, 1, …, 15 volts – BaudRate – b/s – Each signal value represents 4bits – Data Rate = b*4 bits/s – Greater the baudrate, greater the bandwidth required to transmit the signal • Shannon’s theorem Docsity.com Data Rate • Nyquist rate: – signal passed through a low pass filter of bandwidth H recover from 2H samples. • Clean Channel: – Maximum Data Rate = 2H log2V bits/s • V – number of discrete lines • Noisy channel: – Maximum Data Rate = H log2 (1+S/N) bits/s • S/N – signal to noise ratio Docsity.com
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