Back close

Course Detail

Course Name Digital Communication
Course Code 19CCE303
Program B. Tech. in Computer and Communication Engineering
Semester Five
Year Taught 2019

Syllabus

Unit 1

Signal Space Representation of Waveforms – GS orthogonalization – Bandpass and lowpass orthonormal basis – Line Coding – Unipolar -Polar;Bipolar – RZ – NRZ – Manchester

Unit 2

Digital Carrier Modulation – Memoryless carrier modulation – ASK – PSK – QAM – FSK – Carrier modulation with memory – CPFSK – MSK – GMSK – OQPSK -/4-QPSK – Differential encoding – DPSK, DQPSK – Power spectra of digitally modulated signals -Optimum ReceiverDesign for AWGN Channels – Correlation-type and matched –filter- type demodulators – MAP and ML detectors – Optimum coherent receiversfor AWGN channels – Probability of error– union bound.

Unit 3

Signaling and Optimum Receiver DesignforBandlimited Channels – Inter-Symbol Interference (ISI) – Signal design for bandlimited channels –Nyquist criterion for no ISI – Optimum detection for channels with ISI and AWGN – Equalization.

Textbook

  • John G. Proakis and MasoudSalehi, “Digital Communications”, McGraw-Hill Higher Education, Fifth Edition, 2008.
  • Simon Haykin, “Digital Communication Systems”, John Wiley & Sons, 2014.

Reference

  • John G. Proakis, MasoudSalehi and Gerhard Bauch, “Contemporary Communication Systems Using MATLAB”, Cengage Learning India, Third Edition, 2012.
  • John G. Proakis and MasoudSalehi, “Fundamentals of Communication Systems”, Pearson Education, Second Edition, 2013.

Evaluation Pattern

Assessment Internal External
Periodical 1 (P1) 15
Periodical 2 (P2) 15
*Continuous Assessment (CA) 20
End Semester 50
*CA – Can be Quizzes, Assignment, Projects, and Reports.

Objectives and Outcomes

Objectives

  • Understand the fundamental principles of digital modulation and demodulation methods
  • Quantify the impact of noise and channel impairments on digitally modulated signals
  • Design digital signals and optimum receivers to combat the impact of noise and channel impairments
  • Understand and appreciate the techniques to make digital modulation and demodulation methods power-efficient, bandwidth efficient, and suitable for hardware implementation

Course Outcomes

  • CO1: Able to understand the fundamental principles of digital modulation and demodulation methods
  • CO2: Able to quantify the impact of noise and channel impairments on digitally modulated signals
  • CO3: Able to design digital signals and optimum receivers to combat the adverse impact of noise and channel impairments
  • CO4: Able to choose and apply efficient digital modulation schemes for a given channel type

CO – PO Mapping

PO/PSO/CO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2
CO1 3 3 3 3 3
CO2 3 3 3 3 3 3 2
CO3 3 3 3 3 3 3 2
CO4 3 3 3 3 3 2

DISCLAIMER: The appearance of external links on this web site does not constitute endorsement by the School of Biotechnology/Amrita Vishwa Vidyapeetham or the information, products or services contained therein. For other than authorized activities, the Amrita Vishwa Vidyapeetham does not exercise any editorial control over the information you may find at these locations. These links are provided consistent with the stated purpose of this web site.

Admissions Apply Now