Trigonometric decomposition of time-frequency distribution kernels.
Trigonometric decomposition of the time-frequency distribution (TFD) kernels refers to representing each row of the kernel in the time time-lag domain by a finite number of cosinusoidal terms. This allows the local autocorrelation function to be recursively updated, yielding a computationally efficient TFD. Unlike the spectogram decomposition, where the t-f desirable properties are compromised, the proposed trigonometric decomposition preserved both the support and marginal properties and permits data-dependent kernel design.
| Main Author: | Amin, Moeness G. |
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| Other Authors: | Venkatsan, Gopal T. |
| Format: | |
| Language: | English |
| Published: |
1998
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| Online Access: |
http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173774 |