Title :
Walsh Versus Fourier Estimators of the EEG Power Spectrum
Author :
Smith, Warren D.
Author_Institution :
Biomedical Engineering Program, California State University
Abstract :
Walsh-based discrete algorithms offer a fast, simple alternative to Fourier methods for estimating EEG power spectra, but their performance has been criticized. Previous comparisons of Fourier and Walsh estimators are reexamined, and they are compared experimentally, on simulated EEG. The evidence suggests that they should perform comparably for EEG monitoring.
Keywords :
Biomedical measurements; Brain modeling; Computerized monitoring; Discrete Fourier transforms; Discrete wavelet transforms; Electroencephalography; Fast Fourier transforms; Frequency estimation; Spectral shape; State estimation; Electroencephalography; Fourier Analysis; Humans; Mathematics; Models, Theoretical;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.1981.324770
