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| Module Availability |
Spring Semester |
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| Assessment Pattern |
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Unit(s) of Assessment
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Weighting Towards Module Mark( %)
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Examination
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100%
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| Module Overview |
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| Prerequisites/Co-requisites |
EE3.dspa (Digital Signal Processing) |
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| Module Aims |
1. To build on the foundation DSP theory learnt in EE3.dspa, in the Autumn semester.
2. To provide an insight into how digital signal processing techniques are used in real-world applications that are commonly used in industry. |
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| Learning Outcomes |
To understand the concepts involved in DSP applications, be able to apply them, and develop the students’ ability to create their own applications. By the end of the module, students should:
1. Understand why the featured applications are required, and the limitations that they must overcome
2. Have knowledge of methods of representing the various speech/image/video signals
3. Understand the compression techniques and be able to develop their own “generic” codecs
5. Know important features of different compression standards, and be aware of the kinds of applications in which they are used
6. Develop an understanding of how adaptive filtering can enhance the above described applications |
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| Module Content |
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[1]
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Introduction. Why digital signal processing? Need for source compression. Typical communications systems and their limitations.
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[2-4]
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Quantisation. Definition of quantisation. Scalar and vector quantisation, methods, training complexity etc.
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[5-8]
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Speech signal definition and modelling. Voiced and unvoiced speech. Effects of windowing. Short and long term modelling of speech.
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[9-11]
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Speech Coding Methods. Simple coding methods (PCM, APCM, ADPCM). Analysis and Synthesis coding methods. Analysis by synthesis coding methods.
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[12-13]
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Speech coding standards. GSM, AMR, G728, G723.1 etc. Immarsat-M
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[14-16]
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Adaptive filtering. Equalisation. Echo cancellation. Noise cancellation.
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[17-29]
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Image/video signal definition and processing/modelling. Image formats, frame rates. Spatial and temporal redundancy. DCT. Frequency domain image processing. Motion estimation, fast motion estimation.
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[30]
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Introduction to transcoding.
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| Methods of Teaching/Learning |
Lectures |
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| Selected Texts/Journals |
As for EE3.DSPA (Digital Signal Processing A), plus:
Tekalp, A. Murat. - Digital video processing / A. Murat Tekalp. - Hemel Hempstead : Prentice-Hall, 1995. – 0131900757, 621.367/TEK
Sadka, Abdul H.. - Compressed Video Communications / Abdul H. Sadka. - New York; Chichester : Wiley, 2002. – 0470843128, 621.382/SAD |
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| Last Updated |
12 August 2010 |
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