DocumentCode
2995909
Title
Adaptive methods for real time Pisarenko spectrum estimate
Author
Hu, Yu Hen
Author_Institution
Southern Methodist University, Dallas, Texas
Volume
10
fYear
1985
fDate
31138
Firstpage
105
Lastpage
108
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '85.
Type
conf
DOI
10.1109/ICASSP.1985.1168444
Filename
1168444
Link To Document