Communication Theory

  • Computer Engineering |
  • English

Description

Introduction to communication theory. Review of Fourier series and Fourier transform as a mathematical tool for spectral analysis. Concept of power and energy spectral densities and correlation between waveforms. Transmission through linear filters and channels. Hilbert transform and Amplitude Modulation techniques.

Program

Bachelor Degree in Computer Engineering

Objectives

  • Classification of signals and their spectrum.rnFourier Transform and its properties in time and frequency domains.rnLinear Systems.rnIntroduction to communication systems and Amplitude Modulation and Demodulation.rn

Textbook

Data will be available soon!

Course Content

content serial Description
1Classification of Signals - sum of periodic signals
2Orthogonality - Fourier Analysis of Periodic Signals
3Fourier Transform and Properties of F.T.
4Properties of F.T. (cont.)
5F.T. of Special Functions
6Fourier Transform of periodic signals - Digital & analog signals
7Discrete Fourier transform - Sampling Theory + 7th week exam
8Auto-correlation & cross-correlation of power and energy signals - Spectral densities of power and energy signals
9Hilbert transform
10Response of low-pass and band-pass filters
11Double side band transmitted carrier amplitude modulation and demodulation
12DSB Surprised carrier amplitude modulation and demodulation + 12 week exam
13Single side band amplitude modulation
14Single side band amplitude demodulation
15Vestigial side band amplitude modulation and demodulation
16Final Examination

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.
Courses
  • Degree Bachelor
  • Code: EC320
  • Credit hrs: 3
  • Prequisites: BA224 & EE231
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