DATA COMMUNICATION

DATA COMMUNICATION

Elements Of Communication Systems: Communication channel and their characteristics.

Elements of Signals: Classification of systems, LTI systems and reconstruction method, Review of probability and random variables, probability density function, description of random processes in the frequency domain, Gaussian and White processes.

Modeling of Information sources: Measure of information, source coding techniques like Huffman code, Lempel – Ziv Code, Block Code & Cyclic codes, Quantisation, Pulse Code, DPCM, Multiplexers and multiplexing PCM signals, Delta Modulation and adaptive delta modulation, Frequency division multiplexing, synchronous TDM and statistical TDM.

Modulation: its need, basic PAM techniques, Binary PSK, DPSK, QPSK< frequency shift keying, M-ary FSK.

Broadband Signal Receiver: Probability of error, filtering, correlation type demodulator, matched filter demodulator, coherent detector, correlation, errors in binary & M-ary modulation, PAM with ISI.

Noise calculations in digital communication systems.

Introduction to equalizations,

Introduction to data compression techniques.

Introduction to computer communications: Architecture – OSI layer model, ci rcuit and packet switching, protocols, ISDN, Frame

Relay and Cell relay techniques.

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