hamming.window: Computes the Coefficients of a Hamming Window.
In molnplus/DasProjekt-e1071: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
Description
The filter coefficients w(i) of a Hamming
window of length
n are computed according to the formula
w(i) = 0.54 - 0.46*cos(2*pi*i/(n-1))
Usage
1
Arguments
n
The length of the window.
Value
A vector containing the filter coefficients.
Author(s)
Andreas Weingessel
References
For a definition of the Hamming window, see for example
Alan V. Oppenheim and Roland W. Schafer: "Discrete-Time Signal
Processing", Prentice-Hall, 1989.
See Also
stft, hanning.window
Examples
1
2
3
4
5
hamming.window(10)
x<-rnorm(500)
y<-stft(x, wtype="hamming.window")
plot(y)
molnplus/DasProjekt-e1071 documentation built on May 23, 2019, 6:06 a.m.
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Description Usage Arguments Value Author(s) References See Also Examples
Description
The filter coefficients w(i) of a Hamming
window of length
n are computed according to the formula
w(i) = 0.54 - 0.46*cos(2*pi*i/(n-1))
Usage
1 |
Arguments
n |
The length of the window. |
Value
A vector containing the filter coefficients.
Author(s)
Andreas Weingessel
References
For a definition of the Hamming window, see for example
Alan V. Oppenheim and Roland W. Schafer: "Discrete-Time Signal
Processing", Prentice-Hall, 1989.
See Also
stft, hanning.window
Examples
1 2 3 4 5 | hamming.window(10)
x<-rnorm(500)
y<-stft(x, wtype="hamming.window")
plot(y)
|
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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