Nearest power-of-two number: Difference between revisions

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The rate of sampling can then be used to convert these two durations into a number of samples. Although many fast Fourier transform algorithms can transform data of any number of samples, the fastest execution occurs for lengths that are whole-number powers of two. It is recommended to round the number of samples up to the next power of two.
The rate of sampling can be used to convert these two durations (diss-length and fft-length) into a number of samples. Although many fast Fourier transform algorithms can transform data of any number of samples, the fastest execution occurs for lengths that are whole-number powers of two. It is recommended to round the number of samples up to the next power of two.
 
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return to [[Flow chart for shear probes]]

Revision as of 15:38, 9 November 2021

The rate of sampling can be used to convert these two durations (diss-length and fft-length) into a number of samples. Although many fast Fourier transform algorithms can transform data of any number of samples, the fastest execution occurs for lengths that are whole-number powers of two. It is recommended to round the number of samples up to the next power of two.


return to Flow chart for shear probes