hanning.window: Computes the Coefficients of a Hanning Window.
In e1071: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
hanning.window R Documentation
Computes the Coefficients of a Hanning Window.
Description
The filter coefficients w_i of a Hanning
window of length
n are computed according to the formula
w_i = 0.5 - 0.5 \cos\frac{2\pi i}{n-1}
Usage
hanning.window(n)
Arguments
n
The length of the window.
Value
A vector containing the filter coefficients.
Author(s)
Andreas Weingessel
References
For a definition of the Hanning window, see for example
Alan V. Oppenheim and Roland W. Schafer: "Discrete-Time Signal
Processing", Prentice-Hall, 1989.
See Also
stft, hamming.window
Examples
hanning.window(10)
x<-rnorm(500)
y<-stft(x, wtype="hanning.window")
plot(y)
e1071 documentation built on Sept. 14, 2024, 3 p.m.
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| hanning.window | R Documentation |
Computes the Coefficients of a Hanning Window.
Description
The filter coefficients w_i of a Hanning
window of length
n are computed according to the formula
w_i = 0.5 - 0.5 \cos\frac{2\pi i}{n-1}
Usage
hanning.window(n)Arguments
n |
The length of the window. |
Value
A vector containing the filter coefficients.
Author(s)
Andreas Weingessel
References
For a definition of the Hanning window, see for example
Alan V. Oppenheim and Roland W. Schafer: "Discrete-Time Signal
Processing", Prentice-Hall, 1989.
See Also
stft, hamming.window
Examples
hanning.window(10)
x<-rnorm(500)
y<-stft(x, wtype="hanning.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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