Non-Linear, Non-Stationary spectral analysis methods! When and where?

1. Which transform is suitable for non-stationary signal?
2. Which of the following is a non-stationary signal?
3. What is Fourier decomposition method?

Which transform is suitable for non-stationary signal?

For signals changing their characteristics over time the method of analysis that presents the signal changes in both time and frequency is required, and one of the most valid methods is wavelet transform.

Which of the following is a non-stationary signal?

This is because, speech is an example for non-stationary signal where as conventional synthetic signals like sine wave, triangular wave, square wave and so on are stationary in nature. Hence different approaches and tools are needed to process the speech signal.

What is Fourier decomposition method?

Fourier decomposition method (FDM) [25] is an adaptive non-stationary, non-linear signal decomposition method that decomposes a zero-mean signal into a set of Fourier intrinsic band functions (FIBFs) based on Fourier theory and Hilbert transform. Several limitations of the FDM have been identified.