Title :
VLSI Architecture for solving covariance eigen system
Author_Institution :
Southern Methodist University, Dallas, Texas
Abstract :
In this paper, we shall first develop parallel architectures for covariance matrix operations. Then we shall discuss how to make use of them to develop parallel covariance eigen system solvers for real time Pisarenko spectrum estimation.
Keywords :
Concurrent computing; Covariance matrix; Data mining; Digital signal processing; Parallel architectures; Real time systems; Signal processing algorithms; Signal resolution; Spectral analysis; Very large scale integration;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '85.
DOI :
10.1109/ICASSP.1985.1168509
