R: Inverse Fourier Transform

INVRft {RSEIS} | R Documentation

## Inverse Fourier Transform

### Description

Inverse Fourier Transform

### Usage

    INVRft(G, n, tstart, dt)

### Arguments

`G` | Input fourier transform
`n` | length of time vector
`tstart` | time series starts at tstart
`dt` | Delta t, sample rate

### Details

G is a vector spectrum evaluated at positive and negative frequencies as defined by makefreq. tstart, dt and n define the output time vector as described above.

g is the Inverse Fourier Transform of G scaled by dt. time shift theorem has been used to account for time not starting at t=0.

### Value

`g` | truncate time vector to N points
`f` | frequencies
`t` | times

### Author(s)

Jonathan M. Lees<jonathan.lees.edu>

### See Also

makefreq, FRWDft, INSTresponse

### Examples

    zil  <-  rnorm(300)
    fss  <-  FRWDft( zil, length(zil), 0, 0.004)
    INVRft(fss$G, length(zil), 0, 0.004)

[Package RSEIS version 3.7-4 Index]