pycrtools.core.hftools.mFFTW

pycrtools.core.hftools.mFFTW.hFFTWExecutePlan()

hFFTWExecutePlan(out, in, plan)

Executes an FFTW plan.

Parameters

out	Return vector in which the FFT transformed data is stored.
in	Input vector to make the FFT from.
plan	FFTW plan.

Example

>>> # Set up input/output arrays
>>> x = cr.hArray(complex, N)
>>> y = cr.hArray(complex, N)

>>> # Create plan
>>> p = cr.FFTWPlanManyDft(N, 1, 1, 1, 1, 1, cr.fftw_sign.FORWARD, cr.fftw_flags.ESTIMATE)

>>> # Execute plan
>>> cr.hFFTWExecutePlan(y, x, p)

hFFTWExecutePlan(out, in, plan)

Executes an FFTW plan.

Parameters

out	Return vector in which the FFT transformed data is stored.
in	Input vector to make the FFT from.
plan	FFTW plan.

Example

>>> # Set up input/output arrays
>>> x = cr.hArray(float, N)
>>> y = cr.hArray(complex, N/2+1)

>>> # Create plan
>>> p = cr.FFTWPlanManyDftR2c(N, 1, 1, 1, 1, 1, cr.fftw_flags.ESTIMATE)

>>> # Execute plan
>>> cr.hFFTWExecutePlan(y, x, p)

hFFTWExecutePlan(out, in, plan)

Executes an FFTW plan.

Parameters

out	Return vector in which the FFT transformed data is stored.
in	Input vector to make the FFT from.
plan	FFTW plan.

Example

>>> # Set up input/output arrays
>>> x = cr.hArray(complex, N/2+1)
>>> y = cr.hArray(float, N)

>>> # Create plan
>>> p = cr.FFTWPlanManyDftC2r(N, 1, 1, 1, 1, 1, cr.fftw_flags.ESTIMATE)

>>> # Execute plan
>>> cr.hFFTWExecutePlan(y, x, p)

pycrtools.core.hftools.mFFTW.hFFTWExecutePlanRC()

hFFTWExecutePlanRC(out, in, plan)

Executes an FFTW plan.

Parameters

out	Return vector in which the FFT transformed data is stored.
in	Input vector to make the FFT from.
plan	FFTW plan.

Example

>>> # Set up input/output arrays
>>> x = cr.hArray(complex, N)
>>> y = cr.hArray(complex, N)

>>> # Create plan
>>> p = cr.FFTWPlanManyDft(N, 1, 1, 1, 1, 1, cr.fftw_sign.FORWARD, cr.fftw_flags.ESTIMATE)

>>> # Execute plan
>>> cr.hFFTWExecutePlan(y, x, p)

pycrtools.core.hftools.mFFTW.hFFTWExecutePlanCR()

hFFTWExecutePlanCR(out, in, plan)

Executes an FFTW plan.

Parameters

out	Return vector in which the FFT transformed data is stored.
in	Input vector to make the FFT from.
plan	FFTW plan.

Example

>>> # Set up input/output arrays
>>> x = cr.hArray(complex, N)
>>> y = cr.hArray(complex, N)

>>> # Create plan
>>> p = cr.FFTWPlanManyDft(N, 1, 1, 1, 1, 1, cr.fftw_sign.FORWARD, cr.fftw_flags.ESTIMATE)

>>> # Execute plan
>>> cr.hFFTWExecutePlan(y, x, p)

pycrtools.core.hftools.mFFTW.hFFTWExecutePlan()

hFFTWExecutePlan(out, in, plan)

Executes an FFTW plan.

Parameters

out	Return vector in which the FFT transformed data is stored.
in	Input vector to make the FFT from.
plan	FFTW plan.

Example

>>> # Set up input/output arrays
>>> x = cr.hArray(complex, N)
>>> y = cr.hArray(complex, N)

>>> # Create plan
>>> p = cr.FFTWPlanManyDft(N, 1, 1, 1, 1, 1, cr.fftw_sign.FORWARD, cr.fftw_flags.ESTIMATE)

>>> # Execute plan
>>> cr.hFFTWExecutePlan(y, x, p)

hFFTWExecutePlan(out, in, plan)

Executes an FFTW plan.

Parameters

out	Return vector in which the FFT transformed data is stored.
in	Input vector to make the FFT from.
plan	FFTW plan.

Example

>>> # Set up input/output arrays
>>> x = cr.hArray(float, N)
>>> y = cr.hArray(complex, N/2+1)

>>> # Create plan
>>> p = cr.FFTWPlanManyDftR2c(N, 1, 1, 1, 1, 1, cr.fftw_flags.ESTIMATE)

>>> # Execute plan
>>> cr.hFFTWExecutePlan(y, x, p)

hFFTWExecutePlan(out, in, plan)

Executes an FFTW plan.

Parameters

out	Return vector in which the FFT transformed data is stored.
in	Input vector to make the FFT from.
plan	FFTW plan.

Example

>>> # Set up input/output arrays
>>> x = cr.hArray(complex, N/2+1)
>>> y = cr.hArray(float, N)

>>> # Create plan
>>> p = cr.FFTWPlanManyDftC2r(N, 1, 1, 1, 1, 1, cr.fftw_flags.ESTIMATE)

>>> # Execute plan
>>> cr.hFFTWExecutePlan(y, x, p)

pycrtools.core.hftools.mFFTW.hFFTWExecutePlan()

hFFTWExecutePlan(out, in, plan)

Executes an FFTW plan.

Parameters

out	Return vector in which the FFT transformed data is stored.
in	Input vector to make the FFT from.
plan	FFTW plan.

Example

>>> # Set up input/output arrays
>>> x = cr.hArray(complex, N)
>>> y = cr.hArray(complex, N)

>>> # Create plan
>>> p = cr.FFTWPlanManyDft(N, 1, 1, 1, 1, 1, cr.fftw_sign.FORWARD, cr.fftw_flags.ESTIMATE)

>>> # Execute plan
>>> cr.hFFTWExecutePlan(y, x, p)

hFFTWExecutePlan(out, in, plan)

Executes an FFTW plan.

Parameters

out	Return vector in which the FFT transformed data is stored.
in	Input vector to make the FFT from.
plan	FFTW plan.

Example

>>> # Set up input/output arrays
>>> x = cr.hArray(float, N)
>>> y = cr.hArray(complex, N/2+1)

>>> # Create plan
>>> p = cr.FFTWPlanManyDftR2c(N, 1, 1, 1, 1, 1, cr.fftw_flags.ESTIMATE)

>>> # Execute plan
>>> cr.hFFTWExecutePlan(y, x, p)

hFFTWExecutePlan(out, in, plan)

Executes an FFTW plan.

Parameters

out	Return vector in which the FFT transformed data is stored.
in	Input vector to make the FFT from.
plan	FFTW plan.

Example

>>> # Set up input/output arrays
>>> x = cr.hArray(complex, N/2+1)
>>> y = cr.hArray(float, N)

>>> # Create plan
>>> p = cr.FFTWPlanManyDftC2r(N, 1, 1, 1, 1, 1, cr.fftw_flags.ESTIMATE)

>>> # Execute plan
>>> cr.hFFTWExecutePlan(y, x, p)

pycrtools.core.hftools.mFFTW.hFFTConvert()

hFFTConvert(vec)

Convert between CASA and FFTW definitions for FFT

Parameters

vec

pycrtools.core.hftools.mFFTW.hFFTWResample()

hFFTWResample(out, in)

Resample input vector to output vector length using FFTW

Parameters

out	Output vector
in	Input vector

pycrtools.core.hftools.mFFTW.hFFTWDownsample()

hFFTWDownsample(out, in)

Resample input vector to output vector length using FFTW

Parameters

out	Output vector
in	Input vector