Projects per year
Abstract
We investigate the detection of smooth steps in a measured signal using an algorithm based on linearized Bregman iterations (LBI). Such smooth steps occur when a trend break does not occur abruptly but gradually over multiple samples. We extend the detection algorithm by an approximate deconvolution add-on that enables reliable step detection while even allowing reducing the number of iterations of the LBI algorithm. We present simulation results in the context of fiber fault detection demonstrating the detection performance that is achievable with this combined approach, allowing reducing the required number of iterations by approximately 40%.
| Original language | English |
|---|---|
| Title of host publication | Computer Aided Systems Theory -- EUROCAST 2022 |
| Editors | Moreno-Diaz, Roberto and Pichler, Franzand Quesada-Arencibia, Alexis |
| Place of Publication | Cham |
| Publisher | Springer Nature Switzerland |
| Pages | 303--310 |
| Number of pages | 8 |
| ISBN (Print) | 978-3-031-25312-6 |
| Publication status | Published - 2022 |
Fields of science
- 202017 Embedded systems
- 202036 Sensor systems
- 202 Electrical Engineering, Electronics, Information Engineering
- 202015 Electronics
- 202022 Information technology
- 202023 Integrated circuits
- 202027 Mechatronics
- 202028 Microelectronics
- 202037 Signal processing
- 202041 Computer engineering
JKU Focus areas
- Digital Transformation
Projects
- 1 Finished
-
Low Complexity Iterative Signal Processing Methods
Lunglmayr, M. (PI)
16.01.2015 → 28.02.2019
Project: Other › Project from scientific scope of research unit