Title :
Maximum flatness spectral modeling
Author_Institution :
ETSE Telecommunicacio, Univ. Politecnica de Catalunya, Barcelona, Spain
fDate :
11/1/1990 12:00:00 AM
Abstract :
The maximum entropy method obtains the flattest spectrum consistent with the given autocorrelation values, according to a specific flatness measure. The suitability of the maximum flatness criterion for spectral estimation is discussed. It is concluded that this criterion offers useful insight into the spectral models arising from the optimization approach
Keywords :
correlation methods; optimisation; spectral analysis; autocorrelation values; maximum entropy method; maximum flatness criterion; optimization approach; spectral estimation; Acoustic measurements; Acoustic signal processing; Autocorrelation; Constraint optimization; Entropy; Iterative algorithms; Nonlinear equations; Shape; Signal processing algorithms; Speech;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on