3D real-valued fast Fourier transform.

tf.raw_ops.RFFT3D( input, fft_length, Tcomplex=tf.dtypes.complex64, name=None )

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, `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 `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.

Args | |
---|---|

`input` | A `Tensor` . Must be one of the following types: `float32` , `float64` . A float32 tensor. |

`fft_length` | A `Tensor` of type `int32` . An int32 tensor of shape [3]. The FFT length for each dimension. |

`Tcomplex` | An optional `tf.DType` from: `tf.complex64, tf.complex128` . Defaults to `tf.complex64` . |

`name` | A name for the operation (optional). |

Returns | |
---|---|

A `Tensor` of type `Tcomplex` . |

© 2020 The TensorFlow Authors. All rights reserved.

Licensed under the Creative Commons Attribution License 3.0.

Code samples licensed under the Apache 2.0 License.

https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/RFFT3D