Detection of number of harmonics by maximum eigenvalue varied rate criteria
Y. Liu, John J. Soraghan, T.S. Durrani · International Conference on Acoustics, Speech, and Signal Processing · 2002
The maximum eigenvalue varied rate criteria (MEVRC) method is presented as a novel approach for determining the number of harmonics in a given signal. In contrast to the AIC and MDL criteria, MEVRC does not use a bias term. It is based on the eigenvalue varied rate of the smallest eigenvalues to estimate the number of signals. Simulation results indicate that the performance of MEVRC is better than AIC in normal signal-to-noise ratio (SNR) and sample situations, and better than the MDL in adverse conditions.>