Estimating the Signal Reconstruction Error from Threshold-Based Sampling Without Knowing the Original Signal
arXiv:1811.01447 · doi:10.1109/EBCCSP.2017.8022834
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.
3rd International Conference on Event-Based Control, Communication and Signal Processing (EBCCSP), 2017