Autumn Semester

Unit(s) of Assessment	Weighting Towards Module Mark( %)
Examination	80%
Coursework	20%

None

To introduce the concepts, theory and pedagogy of digital signal processing.

Students will have understood and assimilated the concepts, terminology and DSP tools introduced in the module, and be able to apply the techniques in audio processing and telecommunications applications.

SIGNAL PROCESSING     (30hours)     (JC)

[01-05] Review of time-frequency relationships: convolution, Fourier transforms, autocorrelation, sampling, spectrum of sampled signal, aliasing, sampling theorem. The Z transforms and relationships.

[06-13] Review of analogue filter types: Butterworth, Chebyshev, elliptic functions. Design of IIR digital filters: bilinear Z-transforms, impulse invariant method, mirror-image polynomial filters. Design of FIR digital filters: linear phase filter design, windowing.

[14-18] The discrete Fourier transform: spectral leakage, zero filling, auto-and cross-correlation, the FFT and implementations.

[19] Wavelet transforms

[20-23] Decimation and interpolation. Multirate filtering. Polyphase filters

[24-26] Sources of noise in digital signal processing: quantisation noise, round-off noise, coefficient truncation.  A/D converters.

[27-30] Applications of digital signal processing.

30 lectures at 3 per week, Group work

Emmanuel Ifeachor, Barrie Jervis, “Digital Signal Processing: A Practical Approach” (2^nd Ed), ISBN: 0201596199, Addison-Wesley

John G. Proakis, Dimitris K Manolakis, “Digital Signal Processing: Principles, Algorithms, Applications” (4^th Ed), ISBN: 0201398516,  Prentice-Hall

Alan V. Oppenheim, Ronald W. Schafer, John R. Buck, “Discrete-Time Signal Processing” (2^nd Ed), ISBN: 0130834432, Prentice-Hall

12th August 2008