The unit covers digital signal processing techniques by introducing students to the fundamentals of deterministic discrete signals and noise. The topics to be covered include the introduction to discrete-time signals and systems, discrete Fourier Transform and its properties, the z-transform and its properties, sampling of continuous-time signals, anti-aliasing filters analogue to digital signal conversion, analysis of discrete-time signal processing systems using transform techniques, examples of design and realization of finite impulse response (FIR) filters and infinite impulse response (IIR) filters. Application of fundamental signal processing techniques will be demonstrated using software e.g. MATLAB.

Unit details

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Unit code:


NEE2201 - Linear Systems with Matlab Applications

Learning Outcomes

On successful completion of this unit, students will be able to:
  1. Articulate time domain and frequency domain characteristics of digital signals and systems;  
  2. Analyse digital signals, differentiating noise and information using quantitative measures such as essential bandwidth, energy density and correlations;  
  3. Apply signal transforms such as the z-transform and discrete Fourier transform to represent discrete signals in different domains; and  
  4. Apply digital filters to denoise signals.  


There are 6 labs (session 2,3,5,6,8,9) which cover all learning outcomes (Lab 1+2 = LO1, Lab 3, 4 = LO2, Lab 5,6= LO3 and LO4). Practical assessment of individual student's performance in the lab is done on 3 labs (worth 10% each) in Session 3, 8, 9. The group laboratory report is a group report (1500 words each) on 2 labs (worth 15% each) done in Session 2 and 5. The written tests (worth 20% each) are done in Session 6 and Session 11 cover the theoretical understanding of concepts. The tests cover all learning outcomes of the unit (LO1-LO4). Test 1 = LO1+LO2, Test 2 =LO3+LO4.
Assessment type Description Grade
Laboratory Work Practical Assessment (3) 30%
Report Lab Reports (2) 30%
Test Tests (2) 40%

Where to next?

As part of a course

This unit is studied as part of the following courses. Refer to the course page for information on how to apply for the course.

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