A fast time-domain estimator of the bandwidth of a Gaussian process
| Autor: | W.J. Szajnowski |
|---|---|
| Rok vydání: | 1996 |
| Předmět: |
Signal processing
Estimation theory Computer science Applied Mathematics Gaussian Bandwidth (signal processing) Monte Carlo method Spectral density Estimator Gaussian random field Root mean square symbols.namesake Signal Processing Statistics symbols Time domain Electrical and Electronic Engineering Gaussian process Algorithm |
| Zdroj: | IEEE Signal Processing Letters. 3:182-183 |
| ISSN: | 1558-2361 1070-9908 |
| DOI: | 10.1109/97.503284 |
| Popis: | A fast time-domain technique is proposed to estimate the root mean square (rms) bandwidth of a Gaussian random process. The method is based on averaging the absolute values of the derivative of a signal at zero crossings. For processes with Gaussian power spectral density, the performance of the proposed bandwidth estimator has been studied by using Monte Carlo simulations. The structure of the estimator makes it well suited to practical implementation with the use of a digital storage oscilloscope. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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