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Unit information: Digital Filters and Spectral Analysis 3 in 2018/19

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Unit name Digital Filters and Spectral Analysis 3
Unit code EENG31400
Credit points 10
Level of study H/6
Teaching block(s) Teaching Block 1 (weeks 1 - 12)
Unit director Dr. Agrafiotis
Open unit status Not open
Pre-requisites

EENG21000 – Signals & Systems

Co-requisites

None

School/department Department of Electrical & Electronic Engineering
Faculty Faculty of Engineering

Description

This course provides students with an understanding of the theory, interpretation, design and application of DSP techniques. In particular the course covers the theory and practice of digital filters and Fourier transform based spectrum analysis. Spectral descriptions of continuous-time and discrete-time waveforms are reviewed and related, and the FFT algorithm is used as a spectral analysis tool. The behaviour of digital filters is analysed through the use of difference equations and transfer functions via the z-transform. Methods for designing IIR and FIR filters are described, and various issues associated with their practical implementation are discussed.

To complement and aid understanding of the lecture material, students will be required to use Matlab to complete a series of coursework activities. These will provide practical experience of spectral analysis, digital filtering and digital filter design. The coursework will be assessed by means of four Matlab assignments with electronic submission of results.

Elements:

  • Spectral Analysis Continuous time Fourier series (FS), continuous time Fourier transform (FT), sampling and aliasing, discrete time Fourier transform (DTFT), discrete Fourier transform (DFT), spectral smearing, windowing, time frequency trade-offs, implementation of DFT, fast Fourier transform (FFT), applications of FFT.
  • Digital Filter Design and Implementation Finite impulse response (FIR) and infinite impulse response (IIR) digital filters. Design of FIR filters, linear phase response, zero-placement, design using windowing, design using frequency sampling, optimal design methods, variable transforms. Design of IIR filters, pole-zero placement, impulse invariance, bilinear transform. Implementation of digital filters, direct form, cascade and parallel forms, lattice form, finite word-length effects, limit-cycle oscillations in recursive filters, joint complexity/performance design. Introduction to multi-dimensional and multi-rate signal processing.

Intended learning outcomes

Having completed this unit students will be able to:

  1. Analyse and design FIR and IIR digital filters, taking into account the influence of finite precision arithmetic in their implementation.
  2. Apply DFT and FFT based spectrum analysis methods, interpret the resulting spectra and describe the limitations of these approaches.
  3. Use simulation tools such as MATLAB.

Teaching details

Lectures and laboratories

Assessment Details

Practical exercises:

  • Spectral analysis of audio signal - 5% (ILOs 2, 3
  • Digital filter design - 5% (ILOs 1, 3)
  • Digital filtering of audio signal - 5% (ILO 3)

Exam, 2 hours, 85% (ILOs 1, 2)

Reading and References

  • A. V. Oppenheim, R. W. Schafer, 'Discrete-Time Signal Processing', 3rd Edition, Pearson, 2013, ISBN:9781292025728
  • Dimitris G. Manolakis, K. Ingle,"Applied Digital Signal Processing: Theory and Practice", 2011, Cambridge University Press, ISBN:9780521110020
  • Chen, C.-T., Digital Signal Processing. Spectral Computation and Filter Design, Oxford University Press, 2001, ISBN:019-513 638-1
  • Ifeachor, E.C. and B.W. Jervis, Digital Signal Processing: A Practical Approach, Addison Wesley, 1993, ISBN:0 2015 4412X (TK 5102.5 IFE)
  • Lynn, P. and W. Fuerst, Introductory Digital Signal Processing, J. Wiley, revised 2nd edition, 1994, ISBN:0 4719 1564 4 (TK 5102.5 LYN).
  • Proakis, J.G. and D.G. Manolakis, Digital Signal Processing, 2nd edition, Macmillan, 1992 (TK 5102 5 PRO) (a revised edition of Introduction to Digital Signal Processing, ISBN:0 0239 6815)

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