Digital Communications

Course Code: 
Credit Points: 

Course Outline

Α.  Lectures and Turorials:

  • Basic model of a Digital Communications System.  Channels types. Mathematical models for channel description.
  • Basic principles of Information Theory.  Fundamental limitation in information transmission.  Main theorems.
  • Source coding.  Lossless: Basics,  Hufmann Coding, other entropy coding methods. Lossy:  PCM, DPCM, ADPCM, Delta.
  • Signal transmission through AWGN channels.
  • Theory of optimum receiver.
  • Basic digital modulation methods:  FSK, PSK, ASK, QPSK, QAM.
  • Probability of error for basic digital modulation methods.
  • Information transmission through bandlimited baseband channels. 
  • Intersymbol Interference (ISI): How ISI is introduced and how it is mitigated.
  • Basic multiplexing methods. 


Β.   Laboratory Exercises:

  • Exercise 1: Design and implementation of scalar and vector quanizer.
  • Exercise 2: Source coding using the DPCM method.
  • Exercise 3:  Design and implementation of passband M-PAM.
  • Exercise 4:  Performance evaluation of M-PAM.
  • Exercise 5:  Design and implementation of M-PSK and M-FSK.
  • Exercise 6:  Design and implementation of Information transmission through bandlimited baseband channels.

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