fourierNumUtil: Number of independent values in DFT of real signals.
In tunelipt/wutils: Useful functions for data processing in a wind tunnel
Description
Usage
Arguments
Details
Value
Examples
Description
This function calculates the number of independent values
in Discrete Fourier Transform calculations of real signals.
Usage
1
Arguments
N
Number of samples in a signal.
Details
When calculating the Discrete Fourier Transform (DFT)
of real signals, there is a symmetry on the resulting
values:
X_k = X^*_{N-k}
where X is the discrete Fourier transform of the signal.
The number of independent values in the signal depends on whether the length
of the signal is even or odd. This function returns the correct number for any case.
Value
Number of indepent (complex) values in the DFT of the signal.
Examples
1
2
print(fourierNumUtil(10))
print(fourierNumUtil(11))
tunelipt/wutils documentation built on Nov. 5, 2019, 11:01 a.m.
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Description Usage Arguments Details Value Examples
Description
This function calculates the number of independent values in Discrete Fourier Transform calculations of real signals.
Usage
1 |
Arguments
N |
Number of samples in a signal. |
Details
When calculating the Discrete Fourier Transform (DFT) of real signals, there is a symmetry on the resulting values:
X_k = X^*_{N-k}
where X is the discrete Fourier transform of the signal. The number of independent values in the signal depends on whether the length of the signal is even or odd. This function returns the correct number for any case.
Value
Number of indepent (complex) values in the DFT of the signal.
Examples
1 2 | print(fourierNumUtil(10))
print(fourierNumUtil(11))
|
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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