Sliding fft is fundamentally different from spectral estimation in
practice. Because in practice we never do sliding on sample by sample to
get estimate of spectrum.

The using purpose of sliding fft here is something else.

Best,


On Sat, Oct 25, 2014 at 6:08 PM, Marcus D. Leech <[email protected]> wrote:

>  On 10/25/2014 08:26 AM, Marcus Müller wrote:
>
>
>
> Also, sliding FFTs do look like a computational heavy load. What is the
> application for that? I ask because getting an fft_length FFT for every
> item increases item/sample rate without giving you
> (information-theoretically speaking) any advantage over doing one FFT ever
> fft_length samples.
>
>  Sliding FFTs are used to provide spectral estimates with higher temporal
> resolution, while sacrificing (to some extent) the overall quality of the
> estimate.
>
>
>
>
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>
>


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