Title :
Adaptive methods for real time Pisarenko spectrum estimate
Author_Institution :
Southern Methodist University, Dallas, Texas
Abstract :
In this paper, we discuss new methods for real time computation of the Pisarenko´s spectrum estimates [1]. In particular, we shall focus on the data adaptive computation of minimum eigenvector of a covariance matrix and propose several novel methods for doing so.
Keywords :
Additive white noise; Covariance matrix; Frequency estimation; Gradient methods; Information retrieval; Iterative algorithms; Iterative methods; Signal to noise ratio; Spectral analysis; Stochastic processes;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '85.
DOI :
10.1109/ICASSP.1985.1168444
