MSc in Electrical Engineering

Course Information Package

Course Unit CodeAEEE501
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. Recognise mathematical models for channels and their characteristics. Differentiate between the various types of channels.
  2. Manipulate baseband and bandpass deterministic and random signals in the time domain and in the frequency domain using the Fourier transforms. Evaluate their spectra.
  3. Describe, analyse and evaluate the performance of the various digital baseband and bandpass modulation schemes.
  4. Analyse waveform and vector channel models in AWGN.
  5. Implement and evaluate optimal receivers for AWGN channels.
  6. Evaluate and compare PSK and QAM systems.
  7. Compare and evaluate various digital signalling methods.
Mode of DeliveryFace-to-face
Recommended optional program componentsNONE
Course Contents
  • Basics of Digital Communications: Basic elements of a digital communication system. Communication channels and their characteristics. Mathematical models.
  • Signal analysis: Signal analysis of deterministic and random signals. Fourier transforms. Representation of baseband and bandpass signals. Vector space representations. Orthogonal expansions. Random variables and random processes.
  • Digital Modulation Schemes: Pulse Amplitude Modulation. Quadrature Amplitude Modulation. Phase Modulation. Continuous phase Frequency Shift Keying Multidimensional signalling. Power spectral density of digitally modulated signals.
  • Optimum Receivers for AWGN: Waveform and vector channel models. Optimal detection. Implementation of the optimal receiver for AWGN channels. Maximum likelihood detection. Error probabilities for PSK and QAM. Demodulation and detection. Noncoherent detection. Comparison of of digital signalling methods. Detection of signalling schemes with memory. Optimum receivers of CPM signals. Performance analysis for wireline and radio communication systems. Regenerate repeaters and link budget analysis.
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