tf.signal.irfft
时间: 2023-10-09 13:09:40 浏览: 56
tf.signal.irfft is a TensorFlow function that computes the inverse Fast Fourier Transform (IFFT) of a real-valued input tensor along the last dimension. It takes a tensor of shape (..., N) as input, where N is the length of the last dimension, and returns a tensor of shape (..., 2 * (N - 1)). The output tensor contains the complex-valued time-domain signal reconstructed from the frequency-domain representation obtained by the rfft function.
The irfft function is the inverse operation of the rfft function, which computes the FFT of a real-valued input tensor along the last dimension. The rfft and irfft functions are useful for signal processing applications such as filtering, convolution, and spectral analysis. They are also used in neural network architectures that employ Fourier-based operations, such as the Fourier Transform Layer.
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