EEE1005 : Signals and Communications I
- Offered for Year: 2019/20
- Module Leader(s): Dr Mohsen Naqvi
- Lecturer: Dr Martin Johnston
- Owning School: Engineering
- Teaching Location: Newcastle City Campus
|Semester 2 Credit Value:||20|
(a) To define continuous-time and discrete-time signals, understand how signals can be represented in the time and frequency domain and calculate the Fourier series of a periodic signal to determine its frequency components.
(b) To understand the processes involved in analogue-to-digital conversion (ADC) and explain and implement finite and infinite impulse response systems.
(c) To gain a basic understanding of probability and random signals, describe the different types of noise and how it affects communication systems.
(d) To explain the fundamental blocks of a modern digital communication system and understand channel capacity
(e) To ensure students have a basic working knowledge of Matlab and Simulink to model signal processing and communication systems.
Outline Of Syllabus
• Introduction to Matlab and Simulink with computer lab sessions on signal generation, Fourier series, digital filters, amplitude modulation/demodulation and the effect of noise on a digital communication system.
• Definitions of continuous-time and discrete-time signals with continuous values or discrete values. Phasor representation of signals and applying scaling and shifting operations to signals.
• The mean, mean-square, root-mean-square, energy and power of periodic and non-periodic signals. Representation of time-domain signals in the frequency domain and the concept of negative frequencies.
• Sampling of analogue signals, the effects of under-sampling, alias frequencies, Niquist rate.
• Introduction to analogue-to-digital conversion (ADC), quantisation of sampled signals, encoding of quantised signal to binary sequences.
• Linear time invariant (LTI) systems, finite and infinite impulse response systems, causal and non-causal systems, digital filters, convolution.
• Introduction to Fourier series, odd and even functions, Dirichlet conditions, Gibbs phenomenon, sketching frequency spectra, calculating the power in the harmonics of a periodic signal, Parseval's relation for power signals.
• Introduction to probability theory and random signals, independent and dependent events, joint and conditional probabilities, Bayes' theorem, probability density functions, cumulative density functions, moments and central moments of continuous and discrete random processes, examples of common probability density functions, the error function
• Introduction to digital communication systems, processes involved in the coder-decoder (CODEC) and modulator-demodulation (MODEM), pulse modulation, time division multiplexing (TDM), line coding and channel capacity.
• Noise in a communication system, types of noise, noise factor and figure, cascaded networks, Frii's formula for system noise figure and noise temperature.
|Scheduled Learning And Teaching Activities||Lecture||24||2:00||48:00||40 h lectures; 8 h tutorials|
|Guided Independent Study||Assessment preparation and completion||1||5:00||5:00||Lab report|
|Guided Independent Study||Assessment preparation and completion||5||8:00||40:00||Matlab exercises|
|Guided Independent Study||Assessment preparation and completion||24||0:15||6:00||Revision for mid-semester test|
|Guided Independent Study||Assessment preparation and completion||1||1:00||1:00||Mid-semester test|
|Guided Independent Study||Assessment preparation and completion||48||0:30||24:00||Revision for final exam|
|Guided Independent Study||Assessment preparation and completion||1||2:00||2:00||Final exam|
|Scheduled Learning And Teaching Activities||Practical||4||3:00||12:00||N/A|
|Scheduled Learning And Teaching Activities||Practical||12||1:00||12:00||Computer practical|
|Guided Independent Study||Independent study||1||50:00||50:00||Reading and reflecting on lecture notes and textbooks; solving practice problems|
Teaching Rationale And Relationship
Lectures provide core material and guidance for further reading, problem solving practice is provided through tutorials. Work is further re-enforced through laboratory sessions.
The format of resits will be determined by the Board of Examiners
|Written Examination||60||2||M||10||Mid-semester test|
|Practical/lab report||2||M||10||2000 words|
|Computer assessment||2||M||20||Matlab exercises|
Assessment Rationale And Relationship
The assessment provides the opportunity for students to demonstrate their understanding of the course material. Specifically, the written examinations enable students to demonstrate that they are able to apply this theoretical understanding and their analysis skills to novel situations. The Matlab exercises provide the opportunity to assess students’ ability to write Matlab and Simulink programmes to solve communications and signal processing problems. The laboratory report provides the opportunity to assess students’ ability to apply the theoretical knowledge to practical problems.