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tf.signal.irfft

TensorFlow 1 version 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.