Course Details

Course Information Package

Course Unit CodeAEEE502
Course Unit DetailsMSc Electrical Engineering (Required Courses) -
Number of ECTS credits allocated7
Learning Outcomes of the course unitBy the end of the course, the students should be able to:
  1. Explain the basic principles of information theory and channel modelling and calculate channel capacity entropy and mutual information.
  2. Differentiate between the various coding schemes and calculate bit error probabilities and perform performance comparisons.
  3. Characterise band limited channels and evaluate intersymbol interference.
  4. Describe the optimum receiver in AWGN, maximum likelihood detectors and Kalman filtering.
  5. Analyse M-ary orthogonal signals and modulation and demodulation methods, and evaluate their spectral characteristics.
  6. Evaluate spread spectrum communications systems and model Spread Spectrum digital communication systems.
Mode of DeliveryFace-to-face
Recommended optional program componentsNONE
Course Contents

Information Theory: Information characteristics and measure. Mathematical models of information sources. The lossless source coding theorem. Lossless coding algorithms. Entropy and mutual information. Channel modelling and capacity. Orthogonal signals. Reliability function.

Coding: Linear codes. Hamming codes. Maximum length codes. Soft decision decoding and hard decision decoding. Performance comparison. Block and bit error probability. Cyclic codes. Trellis Codes. Trellis and state diagrams. Non-recursive and recursive convolutional codes. Maximum likelihood decoding. Viterbi algorithm. Probability of error. 


Band-Limited Channels: Characterization. Intersymbol interference.  Optimum receiver for channels with ISI and AWGN. Optimum Maximum-likelihood receiver. Linear equalization. Mean square error (MSE) criterion. Performance evaluation.  ML detectors. Recursive least squares (Kalman) filtering.


Multicarrier Systems: M-ary orthogonal signals. Orthogonal frequency division multiplexing OFDM). Modulation and demodulation. Spectral characteristics.


Spread Spectrum Communications: Model of SS digital communication system. Direct sequence signals. Error rate performance. Applications od spread spectrum systems.
Recommended and/or required reading:
  • J. Proakis and Masoud Salehi, Digital Communications, McGraw-Hill, 5th edition, 2008.
  • Papoulis and S. U. Pillai, Probability, Random Variables and Stochastic Processes, 4th Edition, McGraw-Hill, 2002.
Planned learning activities and teaching methods

The taught part of course is delivered to the students by means of lectures, conducted with the help of computer presentations. Lecture notes and presentations are available through the web for students to use in combination with the textbooks.

Assessment methods and criteria
Final Exam60%
Language of instructionEnglish
Work placement(s)NO

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