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|
Real-valued Fast Fourier Transform along the last axis of the input.
tf.keras.ops.rfft(
x, fft_length=None
)
Computes the 1D Discrete Fourier Transform of a real-valued signal over the inner-most dimension of input.
Since the Discrete Fourier Transform of a real-valued 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 the input, the dimension is cropped. If it is
larger, the dimension is padded with zeros.
Args | |
|---|---|
x
|
Input tensor. |
fft_length
|
An integer representing the number of the fft length. If not
specified, it is inferred from the length of the last axis of x.
Defaults to None.
|
Returns | |
|---|---|
| A tuple containing two tensors - the real and imaginary parts of the output. |
Examples:
x = keras.ops.convert_to_tensor([0.0, 1.0, 2.0, 3.0, 4.0])rfft(x)(array([10.0, -2.5, -2.5]), array([0.0, 3.4409548, 0.81229924]))
rfft(x, 3)(array([3.0, -1.5]), array([0.0, 0.8660254]))