Chapter 1 Reduced-rank intelligent signal processing with application to radar
暂无分享,去创建一个
[1] H. Hotelling. Analysis of a complex of statistical variables into principal components. , 1933 .
[2] H. Hotelling. Relations Between Two Sets of Variates , 1936 .
[3] C. Eckart,et al. The approximation of one matrix by another of lower rank , 1936 .
[4] B. Widrow,et al. Adaptive antenna systems , 1967 .
[5] T. Kailath. The innovations approach to detection and estimation theory , 1970 .
[6] L.E. Brennan,et al. Theory of Adaptive Radar , 1973, IEEE Transactions on Aerospace and Electronic Systems.
[7] I. Reed,et al. Rapid Convergence Rate in Adaptive Arrays , 1974, IEEE Transactions on Aerospace and Electronic Systems.
[8] S. Applebaum,et al. Adaptive arrays , 1976 .
[9] R. Muirhead. Aspects of Multivariate Statistical Theory , 1982, Wiley Series in Probability and Statistics.
[10] R. Kumaresan,et al. Data adaptive signal estimation by singular value decomposition of a data matrix , 1982, Proceedings of the IEEE.
[11] D. E. Davies,et al. Array signal processing , 1983 .
[12] Gene H. Golub,et al. Matrix computations , 1983 .
[13] T. J. Page. Multivariate Statistics: A Vector Space Approach , 1984 .
[14] Irving S. Reed,et al. A new CFAR detection test for radar , 1991, Digit. Signal Process..
[15] David S. Watkins,et al. Fundamentals of matrix computations , 1991 .
[16] Alexander M. Haimovich,et al. An eigenanalysis interference canceler , 1991, IEEE Trans. Signal Process..
[17] Daniel R. Fuhrmann,et al. A CFAR adaptive matched filter detector , 1992 .
[18] D. Tufts,et al. Adaptive detection using low rank approximation to a data matrix , 1994 .
[19] Donald W. Tufts,et al. Determination of the dimension of a signal subspace from short data records , 1994, IEEE Trans. Signal Process..
[20] Yukihiko Yamashita,et al. Relative Karhunen-Loève transform , 1996, IEEE Trans. Signal Process..
[21] J. Scott Goldstein,et al. Reduced-rank adaptive filtering , 1997, IEEE Trans. Signal Process..
[22] J. S. Goldstein,et al. A low-complexity implementation of adaptive Wiener filters , 1997, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).
[23] J. S. Goldstein,et al. A new method of Wiener filtering and its application to interference mitigation for communications , 1997, MILCOM 97 MILCOM 97 Proceedings.
[24] J. S. Goldstein,et al. Theory of partially adaptive radar , 1997, IEEE Transactions on Aerospace and Electronic Systems.
[25] Louis L. Scharf,et al. A Multistage Representation of the Wiener Filter Based on Orthogonal Projections , 1998, IEEE Trans. Inf. Theory.
[26] Wanquan Liu,et al. Generalized Karhunen-Loeve transform , 1998, IEEE Signal Process. Lett..
[27] J.S. Goldstein,et al. Comparison of reduced-rank signal processing techniques , 1998, Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284).
[28] Joseph R. Guerci,et al. An optimal generalized theory of signal representation , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).
[29] J. S. Goldstein,et al. Multistage partially adaptive STAP CFAR detection algorithm , 1999 .
[30] Joseph R. Guerci,et al. Optimal and adaptive reduced-rank STAP , 2000, IEEE Trans. Aerosp. Electron. Syst..
[31] Anja Vogler,et al. An Introduction to Multivariate Statistical Analysis , 2004 .
[32] Don H. Johnson,et al. Statistical Signal Processing , 2009, Encyclopedia of Biometrics.