External Info

This course deals with the fundamentals and the basic techniques used in modern communication systems particularly in digital communications, the foundations of the Physical (PHY) layer of telecom systems, information theory, and source coding. A background in calculus, linear algebra, basic electronic circuits, linear system theory (ELEC 323 and ELEC 324), and probability and random variables (e.g. ELEC 326) is assumed. The focus of this course is not on the device or circuit structure, but rather on the system. ELEC 461 is inevitably mathematically involved, dealing with the representation of signals and noise, and the performance analysis and design of digital communication systems for data transfer and storage.

Course Learning Outcomes (CLOs)
  • Learn basic concepts about random processes that are involved in communication systems.
  • Understand the various building blocks of digital communication system and the function of each building block.
  • Understand the propose of these components and analyze them.
  • Learn the mathematical tools, probability theory in order to model the signals and systems involved in a reliable (digital) communication systems.
  • Several concepts will be quickly reviewed such as random variables, random processes, and Fourier series and transform.
  • Various different digital modulation techniques and channel modeless be discussed. Yopu will be able to determine and justify a set of constraints on bandwidth, power, and complexity and design a signal constellation.
  • You will understand about various signal representation spaces such as baseband, passband and in vector spaces and how signals are modulated from one space into another.
  • You will be able to design simple analog to digital convertors and will learn about some data compression techniques to save on bandwidth and rate while avoiding the distortion as much as possible.
  • Using the trade-off between the rate and distortion, you will design and analyze appropriate uniform and nonuniform quantizers used in analog to digital convertors.
  • You will be able to design effective digital modulations for communication over additive Gaussian channels. You will be able to extend these methods into multidimensional signal spaces.
  • The fundamentals of information theory will allow you to measure information (entropy) and determine the highest rate of information which can be delivered by a source of information or transported over a channel. You will learn about effective ways to compress information such as multimedia. You understand the concept of channel capacity, channel coding theorem and their implications.
  • You will learn about different ways of digital transmission over bandlimited AWGN channels to avoid or combat ISI.
  • As time permits, you will get a superficial exposure on advanced recent techniques such as OFDM and spread spectrum techniques.
  • You will have exposure to some analog communication techniques such as Amplitude Modulation.
Credit Breakdown

Lecture: 3
Lab: 0.75
Tutorial: 0.5
Total: 4.25

Academic Unit Breakdown

Mathematics 0
Natural Sciences 0
Complementary Studies 0
Engineering Studies 51
Engineering Design 0