Application of NUT-DFT for resampling nonuniformly sampled signals

A new technique for resampling nonuniformly sampled signals using Fourier transform based method is proposed. A Nonuniform Time Discrete Fourier Transform (NUT-DFT) is defined to produce a frequency-domain spectrum of nonuniformly sampled time domain signals. The estimated spectrum of the signal is threshold filtered to eliminate the wideband noise introduced by nonuniform sampling. The final stage Inverse Discrete Fourier Transform (IDFT) provides a uniformly sampled reconstruction of the original signal. The effect of block length on the accuracy of reconstruction is discussed. The performance of the technique is illustrated with examples, including resampling of signals with higher frequency components than the Nyquist frequency. The proposed technique has the benefit of alias suppression