TensorFlow 2 version
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View source on GitHub
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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 | |
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input
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A Tensor of type complex64. A complex64 tensor.
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fft_length
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A Tensor of type int32.
An int32 tensor of shape [1]. The FFT length.
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name
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A name for the operation (optional). |
Returns | |
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A Tensor of type float32.
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