Title :
Fractional Power Spectrum
Author :
Tao, Ran ; Zhang, Feng ; Wang, Yue
Author_Institution :
Dept. of Electron. Eng., Beijing Inst. of Technol., Beijing
Abstract :
In this paper, by investigating the definitions of the fractional power spectrum and the fractional correlation for the deterministic process, we consider the case associated with the random process in an explicit manner. The fractional power spectral relations for the fractional Fourier domain filter are derived, and the expression for the fractional power spectrum in terms of the fractional correlation is obtained. In addition, the definitions and the properties of the fractional white noise and the chirp-stationary process are presented. Simulation results verify the theoretical derivations and demonstrate the potential applications, such as detection and parameter estimation of chirp signals, fractional power spectral estimation and system identification in the fractional Fourier domain.
Keywords :
correlation methods; filtering theory; random processes; signal detection; spectral analysis; white noise; chirp signals detection; chirp signals parameter estimation; chirp-stationary process; fractional Fourier domain filter; fractional correlation; fractional power spectral relations; fractional power spectrum; fractional white noise; random process; Fractional correlation function; fractional Fourier transform; fractional correlation function; fractional power spectrum; fractional white noise;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2008.925579