repr_dft: DFT representation by FFT
In PetoLau/TSrepr: Time Series Representations
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Examples
View source: R/nondata_adaptive_repr.R
Description
The repr_dft computes DFT (Discrete Fourier Transform) representation from a time series by FFT (Fast Fourier Transform).
Usage
1
Arguments
x
the numeric vector (time series)
coef
the number of coefficients to extract from FFT
Details
The length of the final time series representation is equal to set coef parameter.
Value
the numeric vector of DFT coefficients
Author(s)
Peter Laurinec, <tsreprpackage@gmail.com>
See Also
Examples
1
PetoLau/TSrepr documentation built on July 14, 2020, 6:13 p.m.
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Description Usage Arguments Details Value Author(s) See Also Examples
View source: R/nondata_adaptive_repr.R
Description
The repr_dft computes DFT (Discrete Fourier Transform) representation from a time series by FFT (Fast Fourier Transform).
Usage
1 |
Arguments
x |
the numeric vector (time series) |
coef |
the number of coefficients to extract from FFT |
Details
The length of the final time series representation is equal to set coef parameter.
Value
the numeric vector of DFT coefficients
Author(s)
Peter Laurinec, <tsreprpackage@gmail.com>
See Also
Examples
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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