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Author Cheng, C. ♦ Hua, Y.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1992
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Polynomials ♦ Frequency estimation ♦ Parameter estimation ♦ Maximum likelihood estimation ♦ Sensor arrays ♦ Direction of arrival estimation ♦ Signal analysis ♦ Transient analysis ♦ Signal resolution ♦ Time series analysis
Abstract The likelihood function can be parameterized with 2-D frequencies or their corresponding polynomial coefficients (frequency or polynomial likelihood function). It is found that the maximization of the likelihood function in the 2-D frequency domain is more computationally efficient than a previously proposed algorithm.
Description Author affiliation: Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia (Cheng, C.; Hua, Y.)
ISBN 0780308492
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1992-11-11
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 185.15 kB
Page Count 4
Starting Page 740
Ending Page 743


Source: IEEE Xplore Digital Library