Rfft3d

public final class Rfft3d

3D real-valued fast Fourier transform.

Computes the 3-dimensional discrete Fourier transform of a real-valued signal over the inner-most 3 dimensions of `input`.

Since the DFT of a real signal is Hermitian-symmetric, `signal.Rfft3d` only returns the `fft_length / 2 + 1` unique components of the FFT for the inner-most dimension of `output`: the zero-frequency term, followed by the `fft_length / 2` positive-frequency terms.

Along each axis `signal.Rfft3d` is computed on, if `fft_length` is smaller than the corresponding dimension of `input`, the dimension is cropped. If it is larger, the dimension is padded with zeros.

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<U>
asOutput()
Returns the symbolic handle of the tensor.
static <U extends TType> Rfft3d<U>
create(Scope scope, Operand<? extends TNumber> input, Operand<TInt32> fftLength, Class<U> Tcomplex)
Factory method to create a class wrapping a new Rfft3d operation.
Output<U>
output()
A complex64 tensor of the same rank as `input`.

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "RFFT3D"

Public Methods

public Output<U> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static Rfft3d<U> create (Scope scope, Operand<? extends TNumber> input, Operand<TInt32> fftLength, Class<U> Tcomplex)

Factory method to create a class wrapping a new Rfft3d operation.

Parameters
scope current scope
input A float32 tensor.
fftLength An int32 tensor of shape [3]. The FFT length for each dimension.
Returns
  • a new instance of Rfft3d

public Output<U> output ()

A complex64 tensor of the same rank as `input`. The inner-most 3 dimensions of `input` are replaced with the their 3D Fourier transform. The inner-most dimension contains `fft_length / 2 + 1` unique frequency components.