CepstrogramArray
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CepstrogramArray
Updated in 14.1

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CepstrogramArray[data,n,d,wfun,m]
pads partitions with zeros to length m prior to the computation of the transform.
Details and Options

- Cepstrogram is an array of power cepstra computed on partitions of data.
- Power cepstrum for each partition is computed as the squared inverse Fourier transform of the log-power spectrum.
- Use Cepstrogram to directly plot the array of cepstra.
- The partition length n and offset d can be expressed as an integer number (interpreted as number of samples) or as time or sample quantities.
- CepstrogramArray[list] uses partitions of length
and offset
, where m is Length[list].
- In CepstrogramArray[list,n,d,wfun], the smoothing window wfun can be specified using a window function that will be sampled between
and
or a list of length n. The default window is DirichletWindow, which effectively does no smoothing.
- The data can be any of the following:
-
list 1D numerical array audio an Audio or Sound object video a Video object - For multichannel audio objects, the cepstrogram is computed over the sum of all channels.
- The following options can be given:
-
FourierParameters {1,-1} Fourier parameters Padding Automatic padding scheme PaddingSize {0,0} amount of padding
Examples
open allclose allBasic Examples (1)Summary of the most common use cases
Scope (7)Survey of the scope of standard use cases
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https://wolfram.com/xid/01lepfwjgersgfn52-osfedt
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https://wolfram.com/xid/01lepfwjgersgfn52-6a4rqo
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https://wolfram.com/xid/01lepfwjgersgfn52-pr5qpw
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https://wolfram.com/xid/01lepfwjgersgfn52-15205j
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https://wolfram.com/xid/01lepfwjgersgfn52-ic77r0
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Specify the window size and offset:
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https://wolfram.com/xid/01lepfwjgersgfn52-77b1d2
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https://wolfram.com/xid/01lepfwjgersgfn52-bv7ii1
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https://wolfram.com/xid/01lepfwjgersgfn52-2ia0yi
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https://wolfram.com/xid/01lepfwjgersgfn52-5wkovp
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https://wolfram.com/xid/01lepfwjgersgfn52-ytb605
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https://wolfram.com/xid/01lepfwjgersgfn52-9jmzx2
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https://wolfram.com/xid/01lepfwjgersgfn52-764b21
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https://wolfram.com/xid/01lepfwjgersgfn52-m6c9py
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Process the audio track of a video:
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https://wolfram.com/xid/01lepfwjgersgfn52-vbf2cb
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Wolfram Research (2017), CepstrogramArray, Wolfram Language function, https://reference.wolfram.com/language/ref/CepstrogramArray.html (updated 2024).
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Wolfram Research (2017), CepstrogramArray, Wolfram Language function, https://reference.wolfram.com/language/ref/CepstrogramArray.html (updated 2024).
Text
Wolfram Research (2017), CepstrogramArray, Wolfram Language function, https://reference.wolfram.com/language/ref/CepstrogramArray.html (updated 2024).
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Wolfram Research (2017), CepstrogramArray, Wolfram Language function, https://reference.wolfram.com/language/ref/CepstrogramArray.html (updated 2024).
CMS
Wolfram Language. 2017. "CepstrogramArray." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2024. https://reference.wolfram.com/language/ref/CepstrogramArray.html.
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Wolfram Language. 2017. "CepstrogramArray." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2024. https://reference.wolfram.com/language/ref/CepstrogramArray.html.
APA
Wolfram Language. (2017). CepstrogramArray. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/CepstrogramArray.html
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Wolfram Language. (2017). CepstrogramArray. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/CepstrogramArray.html
BibTeX
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@misc{reference.wolfram_2025_cepstrogramarray, author="Wolfram Research", title="{CepstrogramArray}", year="2024", howpublished="\url{https://reference.wolfram.com/language/ref/CepstrogramArray.html}", note=[Accessed: 27-March-2025
]}
BibLaTeX
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@online{reference.wolfram_2025_cepstrogramarray, organization={Wolfram Research}, title={CepstrogramArray}, year={2024}, url={https://reference.wolfram.com/language/ref/CepstrogramArray.html}, note=[Accessed: 27-March-2025
]}