Analysis using bi-spectral related techniques

This paper investigates the use of bi-spectral related techniques to obtain detection clues from time-frequency representations. Earlier results have indicated that 1.5-D spectral techniques (a degenerate version of the bi-spectrum) has potential signal to noise ratio (SNR) gain over conventional techniques. This is partially due to the rejection of Gaussian like perturbations by the cumulant based techniques. The third order moment for Gaussian zero mean random processes is essentially zero. A comparison using synthetic data via conventional spectrogram, instantaneous power spectrum, and the cumulant based technique is provided