Title :
Minimum relative entropy enhancement of FFT spectra
Author :
Noonan, J.P. ; Tzannes, M.A.
Author_Institution :
Dept. of Electr. Eng., Tufts Univ., Medford, MA, USA
fDate :
7/5/1990 12:00:00 AM
Abstract :
The typical method for obtaining a power spectrum from values of the correlation function is through the FFT (fast Fourier transform). A novel approach to improving the FFT spectrum when it is corrupted by noise is presented. The method minimises a relative entropy functional involving spectral densities and requires knowledge only of the variance of the noise that is corrupting the FFT spectrum.
Keywords :
computerised signal processing; fast Fourier transforms; FFT spectrum; corrupted by noise; enhancement of FFT spectra; fast Fourier transform; frequency domain model; minimum relative entropy enhancement; noise variance knowledge; power spectrum; spectral enhancement method; spectral estimation;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19900637
