| Autor: |
Byrnes, Jim, Krakovsky, Vladimir Ya. |
| Zdroj: |
Imaging for Detection & Identification; 2007, p249-261, 13p |
| Abstrakt: |
The spectrum sliding analysis (SSA) is a dynamic spectrum analysis in which the next analysis interval differs from the previous one by including the next signal sample and excluding the first one from the previous analysis interval. Such a spectrum analysis is necessary for time-frequency localization of analyzed signal with given peculiarities. Using the well-known fast Fourier transform (FFT) towards this aim is not effective. Recursive algorithmswhich use only one complex multiplication for computing one spectrum sample during each analysis interval are more effective. The author improved one algorithm so that it is possible to use only one complex multiplication for computing two, four, and even eight (for complex signals) spectrum samples simultaneously. Problems of realization and application of the spectrum sliding analysis are also considered in the paper. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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