Estimating the signal reconstruction error from threshold-based sampling without knowing the original signal
B. Moser. Estimating the signal reconstruction error from threshold-based sampling without knowing the original signal. DOI 10.1109/EBCCSP.2017.8022834, 8, 2017. | |
Autoren | |
Buch | Proceedings of the 3rd International Conference on Event-Based Control, Communication and Signal Processing (EBCCSP 2017) |
Typ | In Konferenzband |
Verlag | IEEE |
DOI | 10.1109/EBCCSP.2017.8022834 |
ISBN | 978-1-5386-0916-3 |
Monat | 8 |
Jahr | 2017 |
Abstract | The problem of estimating the accuracy of signal reconstruction from threshold-based sampling, by only taking the sampling output into account, is addressed. The approach is based on re-sampling the reconstructed signal and the application of a distance measure in the output space which satisfies the condition of quasi-isometry. The quasi-isometry property allows to estimate the reconstruction accuracy from the matching accuracy between the sign sequences resulting from sampling and the re-sampling after reconstruction. This approach is exemplified by means of leaky integrate-and-fire. It is shown that this approach can be used for parameter tuning for optimizing the reconstruction accuracy. |