TensorFlow 1 version
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    View source on GitHub
  
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Real-valued fast Fourier transform.
tf.signal.rfft(
    input_tensor, fft_length=None, name=None
)
Computes the 1-dimensional discrete Fourier transform of a real-valued signal
over the inner-most dimension of input.
Since the DFT of a real signal is Hermitian-symmetric, RFFT only returns the
fft_length / 2 + 1 unique components of the FFT: the zero-frequency term,
followed by the fft_length / 2 positive-frequency terms.
Along the axis RFFT 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 | |
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input
 | 
A Tensor. Must be one of the following types: float32, float64.
A float32 tensor.
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fft_length
 | 
A Tensor of type int32.
An int32 tensor of shape [1]. The FFT length.
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Tcomplex
 | 
An optional tf.DType from: tf.complex64, tf.complex128. Defaults to tf.complex64.
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name
 | 
A name for the operation (optional). | 
Returns | |
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A Tensor of type Tcomplex.
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  TensorFlow 1 version
    View source on GitHub