Nearest power-of-two number: Difference between revisions
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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. | 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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Latest revision as of 18:09, 6 June 2024
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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