# Spectral Power Parameter Estimation of Random Sources with Binary Sampled Signals

@article{Stein2019SpectralPP, title={Spectral Power Parameter Estimation of Random Sources with Binary Sampled Signals}, author={Manuel S. Stein}, journal={ArXiv}, year={2019}, volume={abs/1910.12309} }

This paper investigates the problem of estimating the spectral power parameters of random analog sources using numerical measurements acquired with minimum digitization complexity. Therefore, spectral analysis has to be performed with binary samples of the analog sensor output. Under the assumption that the structure of the spectral power density of the analog sources is given, we investigate the achievable accuracy for power level estimation with likelihood-oriented processing. The discussion… CONTINUE READING

Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

#### References

##### Publications referenced by this paper.

SHOWING 1-10 OF 23 REFERENCES

## Multivariate Bernoulli distribution

VIEW 1 EXCERPT

## Covariances of Zero Crossings in Gaussian Processes

VIEW 1 EXCERPT