  Discrete Fourier Transform (DFT) is widely used in signal processing to
analyze the frequencies in a discrete signal. However, DFT fails to recover the
exact Fourier spectrum, when the signal contains frequencies that do not
correspond to the sampling grid. Here, we present an exact Fourier spectrum
recovery method and we provide an implementation algorithm. Also, we show
numerically that the proposed method is robust to noise perturbations.
