Corpus ID: 211507178

Sensitivity Analysis for Binary Sampling Systems via Quantitative Fisher Information Lower Bounds.

@inproceedings{Stein2020SensitivityAF,
  title={Sensitivity Analysis for Binary Sampling Systems via Quantitative Fisher Information Lower Bounds.},
  author={Manuel S. Stein},
  year={2020}
}
  • Manuel S. Stein
  • Published 2020
  • Mathematics, Computer Science, Engineering
  • This article addresses the sensitivity of sensor systems with minimal signal digitization complexity regarding the estimation of analog model parameters. Digital measurements are exclusively available in a hard-limited form, and the parameters of the analog received signals shall be inferred through efficient algorithms. As a benchmark, the achievable estimation accuracy is to be assessed based on theoretical error bounds. To this end, characterization of the parametric likelihood is required… CONTINUE READING

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