Course Details

Subject {L-T-P / C} : EE4405 : Digital Communication {3-0-0 / 3}
Subject Nature : Theory
Coordinator : Prof. Prasanna Kumar Sahu


Concepts of information and entropy Source coding: Coding theorem, fixed length codes Variable length codes Quantization of signals Waveform coding techniques: PCM, DPCM, ADPCM, DM, ADM Baseband transmission: intersymbol interference, noise, eye pattern, BER analysis, Optimum filtering, equalization techniques Clock recovery Line coding techniques: Binary and multilevel line codes Digital modulation schemes: Binary modulation schemes- ASK, PSK, FSK, DPSK M-ary modulation schemes: QPSK, MPSK, MSK QAM: generation and demodulation schemes, carrier recovery techniques, BER analysis of digital modulation systems Shannon’s channel capacity theorem and spectral efficiency of digital modulation schemes

Course Objectives

  1. To understand and analyze the signal flow in a digital communication system
  2. To analyze error performance of a digital communication system in presence of noise and
    other interference
  3. To prepare mathematical background for communication signal analysis

Course Outcomes

1. Knowledge on Digital Communication
2. Use the course for society
3. Entrepreneur and Finance

Essential Reading

  1. Simon S. Haykin, Digital Communications, John Wiley and Sons , 2006
  2. 2. Bernard Sklar, Digital Communications, Pearson Education (US) , 2016

Supplementary Reading

  1. B. P Lathi, Modern digital and analog communication systems, Oxford University Press , 2010
  2. John G Proakis, Digital Communications, McGraw-Hill Education , 5 th. Edn. 2008