Title :
Minimum-variance time-frequency distribution kernels
Author :
Hearon, Steven B. ; Amin, Moeness G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA
fDate :
5/1/1995 12:00:00 AM
Abstract :
When dealing with random processes, reduced spectrum estimate variance becomes an important property that augments the list of desirable time-frequency (t-f) distribution properties. In this correspondence, we derive the t-f kernel that satisfies the t-f constraints and provides the minimum variance for the power spectrum estimate for Gaussian white noise processes
Keywords :
Gaussian noise; frequency estimation; spectral analysis; time-frequency analysis; white noise; Gaussian white noise; minimum-variance time-frequency distribution kernels; random processes; reduced spectrum estimate variance; t-f kernel; Circuit noise; Digital filters; IIR filters; Interference constraints; Kernel; Limit-cycles; Signal processing; Speech processing; Time frequency analysis; Working environment noise;
Journal_Title :
Signal Processing, IEEE Transactions on