Correlation and Spectral Density Functions in Mode-Stirred Reverberation -- II. Spectral Moments, Sampling, Noise, EMI and Understirring
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866909160953610240 |
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| author | Arnaut, Luk R. Ladbury, John M. |
| author_facet | Arnaut, Luk R. Ladbury, John M. |
| contents | In part I, spectral moments and kurtosis were established as parameters in analytic models of correlation and spectral density functions for dynamic reverberation fields. In this part II, several practical limitations affecting the accuracy of estimating these parameters from measured stir sweep data are investigated. For sampled fields, the contributions of finite differencing and aliasing are evaluated. Finite differencing results in a negative bias that depends, to leading order, quadratically on the product of the sampling time interval and the stir bandwidth. Numerical estimates of moments extracted directly from sampled stir sweeps show good agreement with values obtained by an autocovariance method. The effects of data decimation and noise-to-stir ratios of RMS amplitudes are determined and experimentally verified. In addition, the dependencies on the noise-to-stir-bandwidth ratio, EMI, and unstirred energy are characterized. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_03520 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Correlation and Spectral Density Functions in Mode-Stirred Reverberation -- II. Spectral Moments, Sampling, Noise, EMI and Understirring Arnaut, Luk R. Ladbury, John M. Classical Physics Sound Audio and Speech Processing In part I, spectral moments and kurtosis were established as parameters in analytic models of correlation and spectral density functions for dynamic reverberation fields. In this part II, several practical limitations affecting the accuracy of estimating these parameters from measured stir sweep data are investigated. For sampled fields, the contributions of finite differencing and aliasing are evaluated. Finite differencing results in a negative bias that depends, to leading order, quadratically on the product of the sampling time interval and the stir bandwidth. Numerical estimates of moments extracted directly from sampled stir sweeps show good agreement with values obtained by an autocovariance method. The effects of data decimation and noise-to-stir ratios of RMS amplitudes are determined and experimentally verified. In addition, the dependencies on the noise-to-stir-bandwidth ratio, EMI, and unstirred energy are characterized. |
| title | Correlation and Spectral Density Functions in Mode-Stirred Reverberation -- II. Spectral Moments, Sampling, Noise, EMI and Understirring |
| topic | Classical Physics Sound Audio and Speech Processing |
| url | https://arxiv.org/abs/2404.03520 |