A survey of various conjugate gradient (CG) algorithms is presented for the extreme eigen-probiems of a symmetric matrix. The CG algorithms are compared to a commonly used conventional method found in IMSL. It is concluded that the CG algorithms are more flexible and efficient than some of the conventional methods used in adaptive spectrum analysis and signal processing.
|Original language||English (US)|
|Number of pages||7|
|Journal||IEEE Transactions on Acoustics, Speech, and Signal Processing|
|State||Published - Oct 1989|
ASJC Scopus subject areas
- Signal Processing