ifftn
N dimensional inverse fast Fourier transform.
Syntax
x = ifftn(f)
Inputs
- f
- The frequency spectrum to be transformed into the time domain.
Outputs
- x
- The time domain representation of f.
Comments
ifftn uses the FFTW library.
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Bartlett-Hann window.
Create a Bessel filter.
Create a Bessel filter.
Blackman window.
Create a Butterworth filter.
Design a Butterworth filter.
Design a Chebyshev I filter.
Design a Chebyshev II filter.
Dolph-Chebyshev window.
Create a Chebyshev I filter.
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Generate a chirp signal.
Compute cross power spectral density.
Downsample a signal.
Acoustic A-weighting function.
Acoustic B-weighting function.
Acoustic C-weighting function.
Acoustic U-weighting function.
Generate the Dirichlet function.
Create an Elliptic filter.
Design an Elliptic filter.
Fast Fourier Transform.
Two Dimensional Fast Fourier Transform.
N dimensional fast Fourier transform (FFT).
Shift frequency spectrum related vectors to center the dc element
Filter a signal with an IIR or FIR filter.
Filter a signal forward and then backward, compensating for end effects.
Locate the peaks of a signal.
Create a digital FIR filter.
Create a digital FIR multi-band filter with a least squares fitting.
Create one-sided spectrum amplitude vectors from the two-sided equivalents.
Generate a vector of frequency locations.
Compute analog filter frequency response values.
Compute digital filter frequency response values.
Generate a sampled Gaussian modulated sinusoidal pulse centered at zero, with a specified center frequency and fractional bandwidth.
Hamming window.
Hann window.
Inverse Fast Fourier transform.
Two-dimensional inverse fast Fourier transform.
N dimensional inverse fast Fourier transform.
Shift frequency spectrum related vectors to uncenter the dc element to the first position.
Compute the impulse response of a digital filter.
Compute analog filter coefficients from frequency response values.
Compute digital filter coefficients from frequency response values.
Inverse Short-Time Fourier Transform.
Kaiser-Bessel window.
Estimates the mean squared coherence of time domain signals.
Parzen window.
Generate a pulse train, with the pulse defined either by a function or a sampled pulse.
Computes the power spectral density.
Generate a sampled rectangular pulse centered at zero, with a specified width.
Resample a real signal by a rational factor using a polyphase FIR filter.
Generate a sawtooth wave with range [-1,1] and period 2*pi.
Generate a square wave with range [-1,1] and period 2*pi.
Compute the sinc function.
Short-Time Fourier Transform.
Spectrogram.
Generate a stair step plot.
Estimates the transfer function from time domain signals.
Generate a sampled triangular pulse centered at zero, with a specified width and skew.
Unwrap a vector of phase angles.
Upsample a signal.
Welch window.
Cross correlation.
Describes all of the blocks in the installed Activate library.
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The Reference Guide contains documentation for all functions supported in the OpenMatrix language.
N dimensional inverse fast Fourier transform.
N dimensional inverse fast Fourier transform.
x = ifftn(f)
ifftn uses the FFTW library.
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