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Inverse 2D real-valued fast Fourier transform.

tf.signal.irfft2d( input_tensor, fft_length=None, name=None )

Computes the inverse 2-dimensional discrete Fourier transform of a real-valued signal over the inner-most 2 dimensions of `input`

.

The inner-most 2 dimensions of `input`

are assumed to be the result of `RFFT2D`

: The inner-most dimension contains the `fft_length / 2 + 1`

unique components of the DFT of a real-valued signal. If `fft_length`

is not provided, it is computed from the size of the inner-most 2 dimensions of `input`

. If the FFT length used to compute `input`

is odd, it should be provided since it cannot be inferred properly.

Along each axis `IRFFT2D`

is computed on, if `fft_length`

(or `fft_length / 2 + 1`

for the inner-most dimension) 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: `complex64` , `complex128` . A complex tensor. |

`fft_length` | A `Tensor` of type `int32` . An int32 tensor of shape [2]. The FFT length for each dimension. |

`Treal` | An optional `tf.DType` from: `tf.float32, tf.float64` . Defaults to `tf.float32` . |

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

Returns | |
---|---|

A `Tensor` of type `Treal` . |

© 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/r2.3/api_docs/python/tf/signal/irfft2d