Digital Communication (EC-5002) - B.E RGPV CBCS & CBGS Scheme Notes
Digital Communication (EC-5002)
 RGPV notes CBGS Bachelor of engineering

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RGPV notes CBGS Bachelor of engineering

Syllabus

UNIT 1:
Random variables Cumulative distribution function, Probability density function, Mean, Variance and standard deviations of random variable, Gaussian distribution, Error function, Correlation and autocorrelation, Central-limit theorem, Error probability, Power Spectral density of digital data.

UNIT 2:
Digital conversion of Analog Signals Sampling theorem, sampling of band pass signals, Pulse Amplitude Modulation (PAM), types of sampling (natural, flat-top), equalization, signal reconstruction and reconstruction filters, aliasing and anti-aliasing filter, Pulse Width Modulation (PWM), Pulse Position Modulation (PPM).
Digital transmission of Analog Signals
Quantization, quantization error, Pulse Code Modulation (PCM), companding, scrambling, TDM-PCM, Differential PCM, Delta modulation, Adaptive Delta modulation, vocoders.

UNIT 3:
Digital Transmission Techniques Phase shift Keying (PSK)- Binary PSK, differential PSK, differentially encoded PSK, Quadrature PSK, M-ary PSK.Frquency Shift Keying (FSK)- Binary FSK (orthogonal and nonorthogonal), M-ary FSK. Comparison of BPSK and BFSK, Quadrature Amplitude Shift Keying (QASK), Minimum Shift Keying (MSK).

UNIT 4:
Other Digital Techniques Pulse shaping to reduce inter channel and inter symbol interference- Duobinary encoding, Nyquist criterion and partial response signaling, Quadrature Partial Response (QPR) encoder decoder.
Regenerative Repeater- eye pattern, equalizers.
Optimum Reception of Digital Signals
Baseband signal receiver, probability of error, maximum likelihood detector, Bayes theorem, optimum receiver for both baseband and passband receiver- matched filter and correlator, probability of error calculation for BPSK and BFSK.

UNIT 5:
Information Theory
Source Coding: Introduction to information theory, uncertainty and information, average mutual information and entropy, source coding theorem, Huffman coding, Shannon-Fano-Elias coding,
Channel Coding: Introduction, channel models, channel capacity, channel coding, information capacity theorem, Shannon limit.


NOTES


Books Recommended

1. Taub and Schilling: Principles of Communication Systems, TMH.
2. Lathi: Modern Digital and Analog Communication Systems, Oxford University Press.
3. Simon Haykins: Communication Systems, John Wiley.
4. Ranjan Bose: Information Theory, Coding and Cryptography, TMH.
5. Das, Mallik, Chatterjee: Principles of Digital Communication, New Age International
6. Skylar and Ray: Digital Communications, Pearson Education.
7. Rao: Digital Communications, TMH.


List of Experiments:

1. Study of Sampling Process and Signal Reconstruction and Aliasing.
2. Study of PAM, PPM and PDM.
3. Study of PCM Transmitter and Receiver.
4. Time Division Multiplexing (TDM) and Demultiplexing.
5. Study of ASK, PSK and FSK Transmitter and Receiver.


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