Abstract
To estimate harmonics observed in random multiplicative and additive noise, algorithms relying upon second- or higher-order statistics have been derived after stationarizing the available cyclostationary and nonGaussian time series. Recently developed cyclic approaches exploit cyclostationarity and rely upon the cyclic mean, cyclic covariance, or, higher-order cyclic cumulants in order to: (i) detect and estimate frequencies of mono- and multicomponent random amplitude modulated harmonics, and (ii) characterize the multiplicative processes. Comparison based on estimator variances and simulations illustrate that cyclic approaches surmount existing methods in SNR gains and resolution and obviate restrictions on the bandwidth and distributions of the additive and multiplicative noise.
| Original language | English (US) |
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| Title of host publication | Proceedings - IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 225-229 |
| Number of pages | 5 |
| ISBN (Electronic) | 0780312384, 9780780312388 |
| DOIs | |
| State | Published - 1993 |
| Externally published | Yes |
| Event | 1993 IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993 - South Lake Tahoe, United States Duration: Jun 7 1993 → Jun 9 1993 |
Publication series
| Name | Proceedings - IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993 |
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Conference
| Conference | 1993 IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993 |
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| Country/Territory | United States |
| City | South Lake Tahoe |
| Period | 6/7/93 → 6/9/93 |
Bibliographical note
Publisher Copyright:© 1993 IEEE.