-
1
-
-
0017791094
-
Adaptive data orthogonalization
-
N. L. Owsley, “Adaptive data orthogonalization,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, 1978, pp. 109–112.
-
(1978)
Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing
, pp. 109-112
-
-
Owsley, N.L.1
-
2
-
-
0022876721
-
Adaptive algorithms for estimating the complete covariance eigenstructure
-
K. C. Sharman, “Adaptive algorithms for estimating the complete covariance eigenstructure,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, 1986, pp. 1401–1404.
-
(1986)
Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing
, pp. 1401-1404
-
-
Sharman, K.C.1
-
3
-
-
0023963505
-
Adaptive eigensubspace algorithms for direction or frequency estimation and tracking
-
Feb.
-
J. F. Yang and M. Kaveh, “Adaptive eigensubspace algorithms for direction or frequency estimation and tracking,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 36, no. 2, pp. 241–251, Feb. 1988.
-
(1988)
IEEE Trans. Acoust., Speech, Signal Processing
, vol.36
, Issue.2
, pp. 241-251
-
-
Yang, J.F.1
Kaveh, M.2
-
4
-
-
0024665804
-
Application of the conjugate gradient and steepest descent for computing the eigenvalues of an operator
-
May
-
T. K. Sarkar and X. Yang, “Application of the conjugate gradient and steepest descent for computing the eigenvalues of an operator,” Signal Processing, vol. 17, pp. 31–38, May 1989.
-
(1989)
Signal Processing
, vol.17
, pp. 31-38
-
-
Sarkar, T.K.1
Yang, X.2
-
5
-
-
84941477277
-
Gauss-newton based adaptive subspace estimation
-
Mar.
-
G. Mathew, V. U. Reddy, and S. Dasgupta, “Gauss-newton based adaptive subspace estimation,” in Proc. IEEE Int. Conf. Acoust. Speech Signal Processing, Mar. 1992, pp. 205–208, vol. IV.
-
(1992)
Proc. IEEE Int. Conf. Acoust. Speech Signal Processing
, vol.IV
, pp. 205-208
-
-
Mathew, G.1
Reddy, V.U.2
Dasgupta, S.3
-
6
-
-
0023331258
-
An introduction to computing with neural nets
-
Apr.
-
R. P. Lippman, “An introduction to computing with neural nets,” IEEE Acoust., Speech, Signal Processing Mag., vol. 4, pp. 4–22, Apr. 1987.
-
(1987)
IEEE Acoust., Speech, Signal Processing Mag.
, vol.4
, pp. 4-22
-
-
Lippman, R.P.1
-
7
-
-
0021835689
-
Neural computations of decisions in optimization problems
-
J. J. Hopfield and D. W. Tank, “Neural computations of decisions in optimization problems,” Biological Cybern., vol. 52, pp. 141–152, 1985.
-
(1985)
Biological Cybern.
, vol.52
, pp. 141-152
-
-
Hopfield, J.J.1
Tank, D.W.2
-
9
-
-
0002316189
-
Rank-one modification of the symmetric eigenproblem
-
J. R. Bunch, C. P. Neilsen, and D. C. Sorensen, “Rank-one modification of the symmetric eigenproblem,” Numerische Mathematik, vol. 31, pp. 31—48, 1978.
-
(1978)
Numerische Mathematik
, vol.31
, pp. 31-48
-
-
Bunch, J.R.1
Neilsen, C.P.2
Sorensen, D.C.3
-
10
-
-
0025388740
-
Efficient, numerically stabilized rank-one eigenstructure updating
-
Feb.
-
R. D. DeGroat and R. A. Roberts, “Efficient, numerically stabilized rank-one eigenstructure updating,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 38, no. 2, pp. 301–316, Feb. 1990.
-
(1990)
IEEE Trans. Acoust., Speech, Signal Processing
, vol.38
, Issue.2
, pp. 301-316
-
-
DeGroat, R.D.1
Roberts, R.A.2
-
11
-
-
0026157790
-
Recursive updating the eigenvalue decomposition of a covariance matrix
-
May
-
K. B. Yu, “Recursive updating the eigenvalue decomposition of a covariance matrix,” IEEE Trans. Signal Processing, vol. 39, no. 5, pp. 1136–1145, May 1991.
-
(1991)
IEEE Trans. Signal Processing
, vol.39
, Issue.5
, pp. 1136-1145
-
-
Yu, K.B.1
-
12
-
-
0026711607
-
On updating signal subspaces
-
Jan.
-
C. H. Bischof and G. M. Shroff, “On updating signal subspaces,” IEEE Trans. Signal Processing, vol. 40, no. 1, pp. 96–105, Jan. 1992.
-
(1992)
IEEE Trans. Signal Processing
, vol.40
, Issue.1
, pp. 96-105
-
-
Bischof, C.H.1
Shroff, G.M.2
-
13
-
-
0026824966
-
Noniterative subspace tracking
-
Mar.
-
R. D. DeGroat, “Noniterative subspace tracking,” IEEE Trans. Signal Processing, vol. 40, no. 3, pp. 571–577, Mar. 1992.
-
(1992)
IEEE Trans. Signal Processing
, vol.40
, Issue.3
, pp. 571-577
-
-
DeGroat, R.D.1
-
14
-
-
0024774330
-
Neural networks and principal component analysis: Learning from examples without local minima
-
P. Baldi and K. Hornik, “Neural networks and principal component analysis: Learning from examples without local minima,” Neural Networks, vol. 2. pp. 53–58, 1989.
-
(1989)
Neural Networks
, vol.2
, pp. 53-58
-
-
Baldi, P.1
Hornik, K.2
-
15
-
-
0024883243
-
Optimal unsupervised learning in a single-layer linear feedforward neural network
-
T. D. Sanger, “Optimal unsupervised learning in a single-layer linear feedforward neural network,” Neural Networks, vol. 2, pp. 459–473, 1989.
-
(1989)
Neural Networks
, vol.2
, pp. 459-473
-
-
Sanger, T.D.1
-
16
-
-
0025623681
-
A neural network learning algorithm for adaptive principal component extraction (APEX)
-
S. Y. Kung and K. I. Diamantaras, “A neural network learning algorithm for adaptive principal component extraction (APEX),” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, 1990, pp. 861–864.
-
(1990)
Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing
, pp. 861-864
-
-
Kung, S.Y.1
Diamantaras, K.I.2
-
17
-
-
0025594749
-
Constrained principal component analysis via an orthogonal learning network
-
S. Y. Kung “Constrained principal component analysis via an orthogonal learning network,” in Proc. IEEE Int. Symp. Circuits, Syst., pp. 719–722, 1990.
-
(1990)
Proc. IEEE Int. Symp. Circuits, Syst.
, pp. 719-722
-
-
Kung, S.Y.1
-
18
-
-
0020464111
-
A simplified neuron model as a principal component analyzer
-
E. Oja, “A simplified neuron model as a principal component analyzer,” J. Math. Biology, vol. 15, pp. 267–273, 1982.
-
(1982)
J. Math. Biology
, vol.15
, pp. 267-273
-
-
Oja, E.1
-
19
-
-
0026745682
-
Modified Hebbian learning for curve and surface fitting
-
L. Xu, E. Oja and C.Y. Suen, “Modified Hebbian learning for curve and surface fitting,” Neural Networks, vol. 5, pp. 441–457, 1992.
-
(1992)
Neural Networks
, vol.5
, pp. 441-457
-
-
Xu, L.1
Oja, E.2
Suen, C.Y.3
-
20
-
-
0026823090
-
Parallel structured networks for solving a wide variety of matrix algebra problems
-
Mar.
-
L. Wang and J. M. Mendel, “Parallel structured networks for solving a wide variety of matrix algebra problems,” J. Parallel, Distributed Computing, vol. 14, no. 3, pp. 236–247, Mar. 1992.
-
(1992)
J. Parallel, Distributed Computing
, vol.14
, Issue.3
, pp. 236-247
-
-
Wang, L.1
Mendel, J.M.2
-
21
-
-
0004151494
-
-
new York: Cambridge University Press
-
R. A. Horn and C. R. Johnson, Matrix Analysis. new York: Cambridge University Press, 1989, pp. 103–108
-
(1989)
Matrix Analysis
, pp. 103-108
-
-
Horn, R.A.1
Johnson, C.R.2
-
22
-
-
0000624015
-
Multiple emitter location and signal parameter estimation
-
(new York)
-
R. O. Schmidt, “Multiple emitter location and signal parameter estimation,” in Proc. RADC Spectrum Estimation Workshop, (new York), 1979.
-
(1979)
Proc. RADC Spectrum Estimation Workshop
-
-
Schmidt, R.O.1
-
23
-
-
0024175873
-
Dynamical systems that sort lists, diagonalize matrices, and solve linear programming problems
-
R. W. Brockett, “Dynamical systems that sort lists, diagonalize matrices, and solve linear programming problems,” in Proc. IEEE Int. Conf. Decision, Contr., 1988, pp. 799–803.
-
(1988)
Proc. IEEE Int. Conf. Decision, Contr.
, pp. 799-803
-
-
Brockett, R.W.1
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