Title :
Non-stationary signal spectrum analysis improving maximum entropy estimation error
Author :
Takizawa, Yumi ; Fukasawa, Atsushi
Author_Institution :
OKI Electr. Ind. Co. Ltd., Tokyo, Japan
Abstract :
A novel approach is presented for short-time spectrum estimation of nonstationary signals. A two-dimensional spectrum is defined for a discrete-time sequence. One dimension is the conventional axis, and the other is a new frequency axis that corresponds to the time variation of frequency of the signal spectrum. Nonstationary behavior is thought to occur along the new axis, and a set of lowpass filters is used to eliminate the undesired variations. The approach has been applied to the conventional maximum entropy method (MEM). A novel approach to nonstationary signal detection is also presented, using information entropy. These approaches are found to be effective for nonstationary signal analysis
Keywords :
low-pass filters; signal processing; spectral analysis; discrete-time sequence; frequency axis; information entropy; lowpass filters; maximum entropy estimation error; maximum entropy method; nonstationary signals; short-time spectrum estimation; signal detection; spectrum analysis; time variation; two-dimensional spectrum; Entropy; Estimation error; Filtering; Filters; Frequency; Prediction theory; Signal analysis; Signal detection; Spectral analysis; Speech;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266902
