| Type: | Open University
Language: English |
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Prerequisite: 92062
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Recommended semester: 4th or 5th semester
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Scope and form: Class lectures and project work.
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Examination: Evaluation of report and oral presentation (13-scale)
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Remarks: It is a condition for attending the examination that the student has done the laboratory exercises belonging to the course in a satisfactory way.
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| Contact person: | Jørn Winge Bang, Building 451, Tel. +45 4525 5236, email jwb@iae.dtu.dk |
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Department: Department of Applied Electronics
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Aim: -to understand and apply the mathematical methods and -theories used in digital signal processing (DSP).
-to design digital filters to match specifications concerning frequency response and noise properties.
-to understand and correctly apply digital spectral analysis.
-to understand the basic principles in connection with implementation of digital filters
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Contents: Introduction and overview: Basic concepts and terminology.
Digital contra analogue signal processing. Overview of hardware for DSP.
Applications of DSP, an overview: Radar, sonar, Measuring equipment, control engineering, biomedical analysis, etc.
Models and methods: Signals and the Z-transform. System description in the frequency domain.
Digital spectral analysis. DFT, FTD and FFT.
FIR filters (Finite Impulse Response Filters): Properties, design, implementation.
IIR filters (Infinite Impulse Response filters): Properties, design, implementation. Simulating analogue systems.
Hardware and implementation: Design tools. Finite word length limitations, quantization- and roundoff noise.
The ADSP 2100 family of signal processors: An orientation.
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