tf.signal.irfft
| View source on GitHub |
Inverse real-valued fast Fourier transform.
tf.signal.irfft(
input_tensor, fft_length=None, name=None
)
Computes the inverse 1-dimensional discrete Fourier transform of a real-valued signal over the inner-most dimension of input.
The inner-most dimension of input is assumed to be the result of RFFT: 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 dimension of input (fft_length = 2 * (inner - 1)). If the FFT length used to compute input is odd, it should be provided since it cannot be inferred properly.
Along the axis IRFFT is computed on, if fft_length / 2 + 1 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 [1]. The FFT length. |
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. |
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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/signal/irfft