A study on the performance of wavelet packets for spectral analysis

In this article, we investigate the application of wavelet packet transform (WPT) for spectral estimation and analysis. The main attraction for the method is the tradeoffs it offers in terms of satisfying various figure of merits such as high frequency resolution, good side lobe suppression and low variations in the estimated power spectral density (PSD). The performance of the system is evaluated through computer simulations. The results of the experiments show that the wavelet based approach offers great flexibility and adaptability apart from its performances which are comparable and at times even better than Fourier based estimates.