Function irfft 

pub fn irfft<B, const D: usize>(
    spectrum_re: Tensor<B, D>,
    spectrum_im: Tensor<B, D>,
    dim: usize,
    n: Option<usize>,
) -> Tensor<B, D>
where
    B: Backend,

Computes the 1-dimensional inverse discrete Fourier Transform for real-valued signals.

This function reconstructs the real-valued time-domain signal from the first non-redundant values ($N/2 + 1$) of the frequency-domain spectrum. For now, the autodiff is not yet supported.

x[n] = (1/N) * Σ X[k] * exp(i*2πkn/N)

Arguments

• spectrum_re - The real part of the spectrum.
• spectrum_im - The imaginary part of the spectrum.
• dim - The dimension along which to take the inverse FFT.
• n - Optional output signal length. When None, the reconstructed signal length 2 * (size - 1) must be a power of two. When Some(n), n must also be a power of two and the output has exactly n samples. Non-power-of-two n is rejected.

Returns

The reconstructed real-valued signal.

Example

use burn_tensor::backend::Backend;
use burn_tensor::Tensor;

fn example<B: Backend>() {
    let device = B::Device::default();
    let real = Tensor::<B, 1>::from_floats([10.0, -2.0, 2.0], &device);
    let imag = Tensor::<B, 1>::from_floats([0.0, 2.0, 0.0], &device);
    let signal = burn_tensor::signal::irfft(real, imag, 0, None);
}