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|
| Offered by:
Department of Applied Electronics
(IAE) |
| No credit points with: D4651 |
| Prerequisite: 92062 |
| Recommended semester:
4th or 5th semester |
| Scope and form: Class lectures and project work. |
| Examination:
Written exam
(13 point scale
) |
| 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. |
| Contact person: |
Jørn Bang, IAE, Building 451, Tel. +45 4525 5236 |
|
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 |
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. |
