Title :
Variable frequency evolutionary spectrum
Author :
Detka, C.S. ; El-Jaroudi, A.
Author_Institution :
Dept. of Electr. Eng., Pittsburgh Univ., PA, USA
Abstract :
Evolutionary spectral theory provides a means for defining a decomposition of signal energy jointly over time and frequency for processes which exhibit an oscillatory behavior. The oscillatory model of behavior effectively assumes that a process is composed sinusoidal components with slowly-varying time-dependent amplitudes. We expand evolutionary spectral theory by allowing the frequency of the sinusoidal components to vary with time. An estimator of this generalized spectrum is described and examples are presented that illustrate the relative merits of this new approach
Keywords :
Fourier transforms; estimation theory; oscillations; spectral analysis; evolutionary spectral theory; generalised Fourier transformation; oscillatory behavior; oscillatory model; oscillatory processes; signal energy decomposition; sinusoidal components; slowly-varying time-dependent amplitudes; variable frequency evolutionary spectrum; Amplitude modulation; Chirp modulation; Displays; Fourier transforms; Frequency modulation; Signal analysis; Signal processing; Time frequency analysis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.479858