Real-valued fast Fourier transform.
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, `signal.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 `signal.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.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<U> |
asOutput()
Returns the symbolic handle of the tensor.
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static <U extends TType> Rfft<U> | |
Output<U> |
output()
A complex64 tensor of the same rank as `input`.
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<U> asOutput ()
Returns the symbolic handle of the tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static Rfft<U> create (Scope scope, Operand<? extends TNumber> input, Operand<TInt32> fftLength, Class<U> Tcomplex)
Factory method to create a class wrapping a new Rfft operation.
Parameters
scope | current scope |
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input | A float32 tensor. |
fftLength | An int32 tensor of shape [1]. The FFT length. |
Returns
- a new instance of Rfft
public Output<U> output ()
A complex64 tensor of the same rank as `input`. The inner-most dimension of `input` is replaced with the `fft_length / 2 + 1` unique frequency components of its 1D Fourier transform.