Communications Systems

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Course Code: 
MCN 7107
Course Credit Units: 
3
Semester: 
Semester 1
Year of Study: 
Year 1
Undergraduate or Graduate Level: 
Graduate Level
Department: 
Course Description & Objectives: 

This course is about representation of signals in terms of Fourier  Series and Fourier  Transforma- tions.  The students must be able to go back and  forth in time and frequency domains  and repre- sent signals in both domains.   They  should  comprehend  continuous time signals, sampled  signals, discrete-time  signals and  digital  signals both in time  and  in frequency  domains.   Introduction  to Signals and Systems, Fourier  Series and Fourier  Transform. Building blocks of communication sys- tems.  Signal types, vector spaces, generalized  functions.  Hilbert transform and analytical signals. Linear  and  angular  modulation  methods,  frequency  division multiplexing.   GM/SM  applications, stereo  TV.  Sampling,  quantization,  PCM,  DPCM,  DM,  TDM,  pulse  transmission:   PAM,PDM PWM.  Baseband  data transmission:  Nyquist pulse shaping;  Bandpass  data transmission and digi- tal modulation techniques:  ASK,PSK,FSK, QAM.Aims:In this course, the communication systems will be studied from a systems point of view, emphasiz- ing mathematical descriptions, representations, and processing of electrical signals that characterize such systems.

Learning Outcomes: 

At the end of this course, students will be able to

  • Find  frequency representation of deterministic signals and LTI systems,
  • Design filters with a given amplitude and phase response,
  • Design analog modulators and demodulators from a system point of view,
  • Design digital modulators and demodulators from a system point of view

 

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