University of Twente Student Theses
Hardware-Efficient Real-Time Statistical Analysis on Streaming Data
Sulzer, Niels (2019) Hardware-Efficient Real-Time Statistical Analysis on Streaming Data.
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| Abstract: | An algorithm for statistical analysis on streaming data is designed and implemented. In the context of an audio amplifier controller, the algorithm aims at providing power statistics from voltage and current streams for real-time efficiency optimisations. To reduce computational complexity of the design, downsampled approximations of the input signals are used to calculate the statistics. Several techniques are discussed to optimise the arithmetic operations of the algorithm, with focus on serial arithmetic and eliminating the need for division. A proof-of-concept is implemented in VHDL and synthesised for UMC 65nm to give an idea of the physical size such an algorithm could have. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 30 exact sciences in general, 50 technical science in general, 53 electrotechnology, 54 computer science |
| Programme: | Electrical Engineering BSc (56953) |
| Link to this item: | https://purl.utwente.nl/essays/80166 |
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