stft: Computes the Short Time Fourier Transform of a Vector

In e1071: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien

Computes the Short Time Fourier Transform of a Vector

Description

This function computes the Short Time Fourier Transform of a given vector X.

First, time-slices of length win are extracted from the vector. The shift of one time-slice to the next one is given by inc. The values of these time-slices are smoothed by mulitplying them with a window function specified in wtype. For the thus obtained windows, the Fast Fourier Transform is computed.

Usage

stft(X, win=min(80,floor(length(X)/10)), inc=min(24,
floor(length(X)/30)), coef=64, wtype="hanning.window")

Arguments

X	The vector from which the stft is computed.
win	Length of the window. For long vectors the default window size is 80, for short vectors the window size is chosen so that 10 windows fit in the vector.
inc	Increment by which the window is shifted. For long vectors the default increment is 24, for short vectors the increment is chosen so that 30 increments fit in the vector.
coef	Number of Fourier coefficients
wtype	Type of window used

Value

Object of type stft. Contains the values of the stft and information about the parameters.

values	A matrix containing the results of the stft. Each row of the matrix contains the coef Fourier coefficients of one window.
windowsize	The value of the parameter win
increment	The value of the parameter inc
windowtype	The value of the parameter wtype

Author(s)

Andreas Weingessel

See Also

plot.stft

Examples

x<-rnorm(500)
y<-stft(x)
plot(y)

e1071 documentation built on Sept. 14, 2024, 3 p.m.