-
3
-
-
0000333571
-
An analysis of the total least squares problem
-
G. H. Golub and C. F. Van Loan, “An analysis of the total least squares problem,” SIAM J. Numer. Anal., vol. 17, no. 6, pp. 883–893, 1980.
-
(1980)
SIAM J. Numer. Anal.
, vol.17
, Issue.6
, pp. 883-893
-
-
Golub, G.H.1
Van Loan, C.F.2
-
5
-
-
0022281690
-
The use of total linear least squares techniques for identification and parameter estimation
-
York, UK
-
S. V. Huffel and J. Vandewalle, “The use of total linear least squares techniques for identification and parameter estimation,” in IFAC Identification and Parameter Estimation. York, UK, 1985, pp. 1167–1172.
-
(1985)
IFAC Identification and Parameter Estimation.
, pp. 1167-1172
-
-
Huffel, S.V.1
Vandewalle, J.2
-
6
-
-
50249143180
-
Total least square approach for frequency estimation using linear prediction
-
M. A. Rahman and K.-B. Yu, “Total least square approach for frequency estimation using linear prediction,” IEEE Trans. Acoust., Speech and Sig. Proc., vol. ASSP-35, no. 10, pp. 1440–1454, 1987.
-
(1987)
IEEE Trans. Acoust., Speech and Sig. Proc.
, vol.ASSP-35
, Issue.10
, pp. 1440-1454
-
-
Rahman, M.A.1
Yu, K.-B.2
-
7
-
-
0026284933
-
Recursive total least squares algorithm for adaptive filtering
-
Toronto, Canada May
-
C. E. Davila, “Recursive total least squares algorithm for adaptive filtering,” in Proc. IEEE Int. Conf. on Acoust. Speech and Sig. Proc., Toronto, Canada, 1853–1856, May 1991.
-
(1991)
Proc. IEEE Int. Conf. on Acoust. Speech and Sig. Proc.
, pp. 1853-1856
-
-
Davila, C.E.1
-
8
-
-
0025488663
-
30 years of adaptive neural networks: perceptron, madaline and backpropagation
-
Sept.
-
B. Widrow and M. A. Lehr, “30 years of adaptive neural networks: perceptron, madaline and backpropagation,” Proc. IEEE, vol. 78, pp. 1415–1441, Sept. 1990.
-
(1990)
Proc. IEEE
, vol.78
, pp. 1415-1441
-
-
Widrow, B.1
Lehr, M.A.2
-
9
-
-
0025489075
-
The self-organizing map
-
Sept.
-
T. Kohonen, “The self-organizing map,” Proc. IEEE, vol. 78, pp. 1464–1480, Sept. 1990.
-
(1990)
Proc. IEEE
, vol.78
, pp. 1464-1480
-
-
Kohonen, T.1
-
10
-
-
0023981451
-
The art of adaptive pattern recognition by a self-organizing neural network
-
G. A. Carpenter and S. Crossberg, “The art of adaptive pattern recognition by a self-organizing neural network,” IEEE Comput., vol. 21, no. 3, 77–88, 1988.
-
(1988)
IEEE Comput.
, vol.21
, Issue.3
, pp. 77-88
-
-
Carpenter, G.A.1
Crossberg, S.2
-
11
-
-
0021617162
-
Phontopic maps—insightful representation of phonological features for speech recognition
-
Montreal
-
T. Kohonen, K. Makisara, and T. Saramaki, “Phontopic maps—insightful representation of phonological features for speech recognition,” in Proc. 7th Int. Conf. Pattern Recog., Montreal, pp. 182–185, 1984.
-
(1984)
Proc. 7th Int. Conf. Pattern Recog.
, pp. 182-185
-
-
Kohonen, T.1
Makisara, K.2
Saramaki, T.3
-
12
-
-
0019152630
-
Neocognitron: a self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
-
K. Fukushima, “Neocognitron: a self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position,” Biolog. Cybem., vol. 36, no. 2, pp. 193–202, 1980.
-
(1980)
Biolog. Cybem.
, vol.36
, Issue.2
, pp. 193-202
-
-
Fukushima, K.1
-
13
-
-
0020464111
-
A simplified neuron model as a principal component analyzer
-
E. Oja, “A simplified neuron model as a principal component analyzer,” J. Math. Bio., vol. 15, pp. 267–273, 1982.
-
(1982)
J. Math. Bio.
, vol.15
, pp. 267-273
-
-
Oja, E.1
-
14
-
-
0004121838
-
Subspace Methods of Pattern Recognition.
-
E. Oja, Subspace Methods of Pattern Recognition. Research Studies, 1983.
-
(1983)
-
-
Oja, E.1
-
15
-
-
0022013023
-
On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix
-
E. Oja and J. Karhunen, “On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix,” J. Math. Anal. and vol. 106, 69–84, 1985.
-
(1985)
J. Math. Anal. and
, vol.106
, pp. 69-84
-
-
Oja, E.1
Karhunen, J.2
-
16
-
-
0024774330
-
Neural network and principal component analysis: leaaming from examples without local minima
-
P. Baldi and K. Homik, “Neural network and principal component analysis: leaaming from examples without local minima,” Neural Networks, vol. 2, no. 1, pp. 52–58, 1989.
-
(1989)
Neural Networks
, vol.2
, Issue.1
, pp. 52-58
-
-
Baldi, P.1
Homik, K.2
-
17
-
-
0024936898
-
Adaptive network for optimal linear feature extraction
-
Washington, DC
-
P. Foldiak, “Adaptive network for optimal linear feature extraction,” in Proc. Int. Joint Conf. Neural Networks, vol. 1, Washington, DC, pp. 401–405, June 1989.
-
(1989)
Proc. Int. Joint Conf. Neural Networks
, vol.1
, pp. 401-405
-
-
Foldiak, P.1
-
18
-
-
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
-
19
-
-
84956074083
-
A self-organizing network for principal-component analysis
-
J. Rubner and P. Tavan, “A self-organizing network for principal-component analysis,” Europhysics Lett., vol. 10, no. 7, pp. 693–698, 1989.
-
(1989)
Europhysics Lett.
, vol.10
, Issue.7
, pp. 693-698
-
-
Rubner, J.1
Tavan, P.2
-
20
-
-
0025623681
-
A neural network learning algorithm for adaptive principal component extraction (APEX)
-
Albuquerque, NM Apr.
-
S. Y. Kung and K. I. Diamantaras, “A neural network learning algorithm for adaptive principal component extraction (APEX),” in Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc., Albuquerque, NM, pp. 861–864, Apr. 1990.
-
(1990)
Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Proc.
, pp. 861-864
-
-
Kung, S.Y.1
Diamantaras, K.I.2
-
21
-
-
33847117982
-
Back-propagation and unsupervised learning in linear networks
-
Earlbaum Associates, Y. Chauvin and D. E. Rumelhart, Eds.
-
P. Baldi and H. Homik, “Back-propagation and unsupervised learning in linear networks,” in Back Propagation: Theory, Architectures and Applications. Earlbaum Associates, Y. Chauvin and D. E. Rumelhart, Eds., 1991.
-
(1991)
Back Propagation: Theory, Architectures and Applications.
-
-
Baldi, P.1
Homik, H.2
-
22
-
-
0025594749
-
Constrained principal component analysis via an orthogonal learning network
-
New Orleans, LA, May
-
S. Y. Kung, “Constrained principal component analysis via an orthogonal learning network,” in Proc. IEEE int. Symp. on Circuits Syst., New Orleans, LA, May 1990, pp. 719–722.
-
(1990)
Proc. IEEE int. Symp. on Circuits Syst.
, pp. 719-722
-
-
Kung, S.Y.1
-
23
-
-
0003979924
-
Introduction to Theory of Neural Computation.
-
Reading, MA: Addison-Wesley
-
J. Hertz, A. Krogh, and R. Palmer, Introduction to Theory of Neural Computation. Reading, MA: Addison-Wesley, 1991.
-
(1991)
-
-
Hertz, J.1
Krogh, A.2
Palmer, R.3
-
24
-
-
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, 1992.
-
(1992)
Neural Networks
-
-
Xu, L.1
Oja, E.2
Suen, C.Y.3
-
25
-
-
0026631973
-
Neural-net method for dual subspace pattern recognition
-
July
-
L. Xu, A. Krzyzak, and F. Oja, “Neural-net method for dual subspace pattern recognition,” in Proc. Int’l. Joint Conf. Neural Networks, vol. 2, Seattle, WA, pp. II379–II384, July 1991.
-
(1991)
Proc. Int’l. Joint Conf. Neural Networks
, vol.2
, pp. II379-II384
-
-
Xu, L.1
Krzyzak, A.2
Oja, F.3
-
26
-
-
0004113431
-
Adaptive Signal Processing.
-
Englewood Cliffs, NJ: Prentice-Hall
-
B. Widrow, Adaptive Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1985.
-
(1985)
-
-
Widrow, B.1
-
27
-
-
0018920839
-
An adaptive spectral analysis technique for unbiased frequency estimation in the presence of white noise
-
Pacific Grove, CA, Nov.
-
P. A. Thompson, “An adaptive spectral analysis technique for unbiased frequency estimation in the presence of white noise,” in Proc. 13th Asilomar Conf. Circuits, Syst., Comput., Pacific Grove, CA, Nov. 1979, pp. 529–533.
-
(1979)
Proc. 13th Asilomar Conf. Circuits, Syst., Comput.
, pp. 529-533
-
-
Thompson, P.A.1
-
28
-
-
0020796539
-
Adaptive convergence of spectral estimation based on pisarenko harmonic retrieval
-
M. G. Larimore, “Adaptive convergence of spectral estimation based on pisarenko harmonic retrieval,” IEEE Trans. Acoust., Speech and Sig. Proc., vol. ASSP-31, no. 4, pp. 955–962, 1983.
-
(1983)
IEEE Trans. Acoust., Speech and Sig. Proc.
, vol.ASSP-31
, Issue.4
, pp. 955-962
-
-
Larimore, M.G.1
-
29
-
-
0003807773
-
-
Englewood Cliffs, NJ: Prentice-Hall, 2nd ed.
-
S. Haykin, Adaptive Filter Theory. Englewood Cliffs, NJ: Prentice-Hall, 2nd ed., 1991.
-
(1991)
Adaptive Filter Theory.
-
-
Haykin, S.1
-
30
-
-
0024648435
-
Adaptive IIR filtering
-
Apr.
-
J. J. Sllynk, “Adaptive IIR filtering,” IEEEASSP Mag., vol. 2, pp. 4–21, Apr. 1989.
-
(1989)
IEEEASSP Mag.
, vol.2
, pp. 4-21
-
-
Sllynk, J.J.1
-
31
-
-
0000016172
-
A stochastic approximation method
-
H. Robbins and S. Monro, “A stochastic approximation method,” The Annals of Math. Stat., vol. 22, pp. 400–407, 1951.
-
(1951)
The Annals of Math. Stat.
, vol.22
, pp. 400-407
-
-
Robbins, H.1
Monro, S.2
-
32
-
-
0017526570
-
Analysis of recursive stochastic algorithms
-
L. Ljung, “Analysis of recursive stochastic algorithms,” IEEE Trans. Automat. Contr., vol. AC-22, no. 4, pp. 551–575, 1977.
-
(1977)
IEEE Trans. Automat. Contr.
, vol.AC-22
, Issue.4
, pp. 551-575
-
-
Ljung, L.1
-
34
-
-
0001756412
-
Estimation of a system pulse transfer function in the presence of noise
-
M. J. Levin, “Estimation of a system pulse transfer function in the presence of noise,” IEEE Trans. Automat. Contr., vol. AC-9, no. 7, pp. 229–235, 1964.
-
(1964)
IEEE Trans. Automat. Contr.
, vol.AC-9
, Issue.7
, pp. 229-235
-
-
Levin, M.J.1
-
35
-
-
84984520202
-
The retrieval of harmonics from a covariance function
-
V. F. Pisarenko, “The retrieval of harmonics from a covariance function,” Geophys. J. Roy. Astron. Soc., 347–366, 1973.
-
(1973)
Geophys. J. Roy. Astron. Soc.
, pp. 347-366
-
-
Pisarenko, V.F.1
-
36
-
-
0020140899
-
Least squares type algorithm for adaptive implementation of pisarenko’s harmonic retrieval method
-
V. U. Reddy, B. Egardt, and T. Kailath, “Least squares type algorithm for adaptive implementation of pisarenko’s harmonic retrieval method,” IEEE Trans. AcoustSpeech and Sig. Proc., vol. ASSP-30, no. 3, pp. 399–405, 1982.
-
(1982)
IEEE Trans. AcoustSpeech and Sig. Proc.
, vol.ASSP-30
, Issue.3
, pp. 399-405
-
-
Reddy, V.U.1
Egardt, B.2
Kailath, T.3
-
37
-
-
0017473858
-
On-line modified least-squares parameter estimation of linear discrete dynamic systems
-
S. Sagara and K. Wada, “On-line modified least-squares parameter estimation of linear discrete dynamic systems,” Int’l. J. Contr., vol. 25, no. 3, pp. 329–343, 1977.
-
(1977)
Int’l. J. Contr.
, vol.25
, Issue.3
, pp. 329-343
-
-
Sagara, S.1
Wada, K.2
|