-
1
-
-
0019806963
-
Nonlinear system modeling based on the Wiener theory
-
Schetzen, M., Nonlinear system modeling based on the Wiener theory, Proc. IEEE, 69, 1557-1573, 1981.
-
(1981)
Proc. IEEE
, vol.69
, pp. 1557-1573
-
-
Schetzen, M.1
-
3
-
-
0022899735
-
Nonlinear analysis: Mathematical theory and biological applications
-
Sakuranaga, M., Sato, S., Hida, E., and Naka, K.-I., Nonlinear analysis: mathematical theory and biological applications, CRC Crit. Rev. Biomed. Eng., 14, 127-184, 1986.
-
(1986)
CRC Crit. Rev. Biomed. Eng.
, vol.14
, pp. 127-184
-
-
Sakuranaga, M.1
Sato, S.2
Hida, E.3
Naka, K.-I.4
-
4
-
-
0026533782
-
White-noise analysis in neurophysiology
-
Sakai, H. M., White-noise analysis in neurophysiology, Physiol. Rev., 72, 491-505, 1992.
-
(1992)
Physiol. Rev.
, vol.72
, pp. 491-505
-
-
Sakai, H.M.1
-
5
-
-
0027273402
-
Wiener and Volterra analyses applied to the auditory system
-
Eggermont, J. J., Wiener and Volterra analyses applied to the auditory system, Hear. Res., 66, 177-201, 1993.
-
(1993)
Hear. Res.
, vol.66
, pp. 177-201
-
-
Eggermont, J.J.1
-
6
-
-
84943460003
-
Measurement of the Wiener kernels of a non-linear system by cross-correlation
-
Lee, Y. W. and Schetzen, M., Measurement of the Wiener kernels of a non-linear system by cross-correlation, Int. J. Control, 2, 237-254, 1965.
-
(1965)
Int. J. Control
, vol.2
, pp. 237-254
-
-
Lee, Y.W.1
Schetzen, M.2
-
7
-
-
0346135792
-
Measurement of the kernels of a nonlinear system by crosscorrelation
-
MIT Electronics Research Lab
-
Schetzen, M., Measurement of the kernels of a nonlinear system by crosscorrelation, Quarterly Progress Report 60:118-130, MIT Electronics Research Lab, 1961.
-
(1961)
Quarterly Progress Report
, vol.60
, pp. 118-130
-
-
Schetzen, M.1
-
8
-
-
0346135791
-
Measurement of the kernels of a nonlinear system by crosscorrelation with Gaussian non-white inputs
-
MIT Electronics Research Laboratory of Electronics
-
Schetzen, M., Measurement of the kernels of a nonlinear system by crosscorrelation with Gaussian non-white inputs, Quarterly Progress Report 63, MIT Electronics Research Laboratory of Electronics, 113-117, 1961.
-
(1961)
Quarterly Progress Report
, vol.63
, pp. 113-117
-
-
Schetzen, M.1
-
9
-
-
0346135793
-
Editors introduction to the special issue on nonlinear modeling of physiological systems
-
Marmarelis, V. Z., Editors introduction to the special issue on nonlinear modeling of physiological systems, Ann. Biomed. Eng., 16, 1-2, 1988.
-
(1988)
Ann. Biomed. Eng.
, vol.16
, pp. 1-2
-
-
Marmarelis, V.Z.1
-
10
-
-
0348027624
-
Editors introduction to the special issue on nonlinear physiological system modeling
-
Sun, H. H., Looft, F., and Madan, R. N., Editors introduction to the special issue on nonlinear physiological system modeling, Ann. Biomed. Eng., 19, 341-343, 1991.
-
(1991)
Ann. Biomed. Eng.
, vol.19
, pp. 341-343
-
-
Sun, H.H.1
Looft, F.2
Madan, R.N.3
-
11
-
-
0343358050
-
-
Biomedical Simulations Resource, USC-LA, Los Angeles
-
Marmarelis, V. Z., Ed., Advanced Methods of Physiological System Modeling, vol. 1, Biomedical Simulations Resource, USC-LA, Los Angeles, 1987.
-
(1987)
Advanced Methods of Physiological System Modeling
, vol.1
-
-
Marmarelis, V.Z.1
-
12
-
-
0003727166
-
-
Plenum Press, New York
-
Marmarelis, V. Z., Ed., Advanced Methods of Physiological System Modeling, vol. 2, Plenum Press, New York, 1989.
-
(1989)
Advanced Methods of Physiological System Modeling
, vol.2
-
-
Marmarelis, V.Z.1
-
13
-
-
0003727166
-
-
Plenum Press, New York
-
Marmarelis, V. Z., Ed., Advanced Methods of Physiological System Modeling, vol. 3, Plenum Press, New York, 1994.
-
(1994)
Advanced Methods of Physiological System Modeling
, vol.3
-
-
Marmarelis, V.Z.1
-
14
-
-
0025676386
-
The identification of nonlinear biological systems: Wiener kernel approaches
-
Korenberg, M. J. and Hunter, I. W., The identification of nonlinear biological systems: Wiener kernel approaches, Ann. Biomed. Eng., 18, 629-654, 1990.
-
(1990)
Ann. Biomed. Eng.
, vol.18
, pp. 629-654
-
-
Korenberg, M.J.1
Hunter, I.W.2
-
15
-
-
0029669428
-
The identification of nonlinear biological systems: Volterra kernel approaches
-
Corrected version appears in Vol. 24, No. 4
-
Korenberg, M. J. and Hunter, I. W., The identification of nonlinear biological systems: Volterra kernel approaches, Ann. Biomed. Eng., 24, 250-268, 1996. Corrected version appears in Vol. 24, No. 4.
-
(1996)
Ann. Biomed. Eng.
, vol.24
, pp. 250-268
-
-
Korenberg, M.J.1
Hunter, I.W.2
-
17
-
-
84949075045
-
Subspace model identification part 1. The output-error state-space model identification class of algorithms
-
Verhaegen, M. and DeWilde, P., Subspace model identification part 1. The output-error state-space model identification class of algorithms, Int. J. Control, 56, 1187-1210, 1992.
-
(1992)
Int. J. Control
, vol.56
, pp. 1187-1210
-
-
Verhaegen, M.1
DeWilde, P.2
-
21
-
-
0025464263
-
Structure identification of nonlinear dynamic systems - A survey on input/output approaches
-
Haber, R. and Unbehauen, H., Structure identification of nonlinear dynamic systems - a survey on input/output approaches, Automatica, 26, 651-677, 1990.
-
(1990)
Automatica
, vol.26
, pp. 651-677
-
-
Haber, R.1
Unbehauen, H.2
-
22
-
-
0030104350
-
The practical application of a nonlinear identification methodology
-
Thomsom, M., Schooling, S. P., and Soufian, M., The practical application of a nonlinear identification methodology, Control Eng. Prac., 3, 295-306, 1996.
-
(1996)
Control Eng. Prac.
, vol.3
, pp. 295-306
-
-
Thomsom, M.1
Schooling, S.P.2
Soufian, M.3
-
23
-
-
0026010301
-
Disection of a nonlinear cascade model for sensory encoding
-
French, A. S. and Korenberg, M. J., Disection of a nonlinear cascade model for sensory encoding, Ann. Biomed. Eng., 19, 473-484, 1991.
-
(1991)
Ann. Biomed. Eng.
, vol.19
, pp. 473-484
-
-
French, A.S.1
Korenberg, M.J.2
-
24
-
-
0029567025
-
Nonlinear models of the first synapse in the light-adapted fly retina
-
Junsola, M., Weckstrom, M., Uusitalo, R. O., Korenberg, M. J., and French, A. S., Nonlinear models of the first synapse in the light-adapted fly retina, J. Neurophysiol., 74, 2538-2547, 1995.
-
(1995)
J. Neurophysiol.
, vol.74
, pp. 2538-2547
-
-
Junsola, M.1
Weckstrom, M.2
Uusitalo, R.O.3
Korenberg, M.J.4
French, A.S.5
-
25
-
-
0025949282
-
The interpretation of kernels - An overview
-
Hung, G. K. and Stark, L. W., The interpretation of kernels - an overview, Ann. Biomed. Eng., 19, 509-519, 1991.
-
(1991)
Ann. Biomed. Eng.
, vol.19
, pp. 509-519
-
-
Hung, G.K.1
Stark, L.W.2
-
26
-
-
0026045009
-
Interpretation of functional series expansions
-
Krenz, W. and Stark, L., Interpretation of functional series expansions, Ann. Biomed. Eng., 19, 485-508, 1991.
-
(1991)
Ann. Biomed. Eng.
, vol.19
, pp. 485-508
-
-
Krenz, W.1
Stark, L.2
-
28
-
-
0018861202
-
A method of nonlinear analysis in the frequency domain
-
Victor, J. and Shapley, R., A method of nonlinear analysis in the frequency domain, Biophys. J., 29, 459-484, 1980.
-
(1980)
Biophys. J.
, vol.29
, pp. 459-484
-
-
Victor, J.1
Shapley, R.2
-
29
-
-
0003759192
-
-
John Wiley, New York
-
Bendat, J. S. and Piersol, A. G., Random Data, Analysis, and Measurement Procedures, 2nd ed., John Wiley, New York, 1986.
-
(1986)
Random Data, Analysis, and Measurement Procedures, 2nd Ed.
-
-
Bendat, J.S.1
Piersol, A.G.2
-
30
-
-
0000661335
-
The use of functionals in the analysis of non-linear physical systems
-
Barrett, J. F., The use of functionals in the analysis of non-linear physical systems, J. Electron. Control, 15, 567-615, 1963.
-
(1963)
J. Electron. Control
, vol.15
, pp. 567-615
-
-
Barrett, J.F.1
-
31
-
-
0024685547
-
Identification of MIMO non-linear systems using a forward-regression orthogonal estimator
-
Billings, S. A., Chen, S., and Korenberg, M. J., Identification of MIMO non-linear systems using a forward-regression orthogonal estimator, Int. J. Control, 49, 2157-2189, 1989.
-
(1989)
Int. J. Control
, vol.49
, pp. 2157-2189
-
-
Billings, S.A.1
Chen, S.2
Korenberg, M.J.3
-
32
-
-
0000889739
-
Identification of continuous time nonlinear systems using delayed state variable filters
-
Tsang, T. S. and Billings, S. A., Identification of continuous time nonlinear systems using delayed state variable filters, Int. J. Control, 60, 159-180, 1994.
-
(1994)
Int. J. Control
, vol.60
, pp. 159-180
-
-
Tsang, T.S.1
Billings, S.A.2
-
34
-
-
0030836958
-
On the relation between continuous and discrete nonlinear parametric models
-
Zhao, X. and Marmarelis, V. Z., On the relation between continuous and discrete nonlinear parametric models, Automatica, 33, 81-84, 1997.
-
(1997)
Automatica
, vol.33
, pp. 81-84
-
-
Zhao, X.1
Marmarelis, V.Z.2
-
35
-
-
0004161838
-
-
Cambridge University Press, Cambridge
-
Press, W. H., Teukolsky, S. A., Vetterling, W. T., and Flannery, B. P., Numerical Recipes in C: The Art of Scientific Computing, 2nd ed., Cambridge University Press, Cambridge, 1992.
-
(1992)
Numerical Recipes in C: The Art of Scientific Computing, 2nd Ed.
-
-
Press, W.H.1
Teukolsky, S.A.2
Vetterling, W.T.3
Flannery, B.P.4
-
36
-
-
0023893212
-
Identifying nonlinear difference equation and functional expansion representations: The fast orthogonal algorithm
-
Korenberg, M. J., Identifying nonlinear difference equation and functional expansion representations: The fast orthogonal algorithm, Ann. Biomed. Eng., 16, 123-142, 1988.
-
(1988)
Ann. Biomed. Eng.
, vol.16
, pp. 123-142
-
-
Korenberg, M.J.1
-
37
-
-
0020729886
-
Two-sided linear filter identification
-
Hunter, I. W. and Kearney, R. E., Two-sided linear filter identification, Med. Biol. Eng. Comput., 21, 203-209, 1983.
-
(1983)
Med. Biol. Eng. Comput.
, vol.21
, pp. 203-209
-
-
Hunter, I.W.1
Kearney, R.E.2
-
39
-
-
0022150259
-
Fading memory and the problem of approximating nonlinear operators with Volterra series
-
Boyd, S. and Chua, L. O., Fading memory and the problem of approximating nonlinear operators with Volterra series, IEEE Trans. Circ. Syst., CAS-32, 1150-1161, 1985.
-
(1985)
IEEE Trans. Circ. Syst.
, vol.CAS-32
, pp. 1150-1161
-
-
Boyd, S.1
Chua, L.O.2
-
41
-
-
0022118046
-
An improvement of the Lee and Schetzen cross-correlation method
-
Goussard, Y., Krenz, W. C., and Stark, L., An improvement of the Lee and Schetzen cross-correlation method, IEEE Trans. Automatic Control, 30, 895-898, 1985.
-
(1985)
IEEE Trans. Automatic Control
, vol.30
, pp. 895-898
-
-
Goussard, Y.1
Krenz, W.C.2
Stark, L.3
-
42
-
-
0005483993
-
The Volterra representation and the Wiener expansion: Validity and pitfalls
-
Palm, G. and Poggio, T., The Volterra representation and the Wiener expansion: validity and pitfalls, SIAM J. Appl. Math., 33, 195-216, 1977.
-
(1977)
SIAM J. Appl. Math.
, vol.33
, pp. 195-216
-
-
Palm, G.1
Poggio, T.2
-
45
-
-
0022960073
-
The identification of nonlinear biological systems: Wiener and Hammerstein cascade models
-
Hunter, I. W. and Korenberg, M. J., The identification of nonlinear biological systems: Wiener and Hammerstein cascade models, Biol. Cybern., 55, 135-144, 1986.
-
(1986)
Biol. Cybern.
, vol.55
, pp. 135-144
-
-
Hunter, I.W.1
Korenberg, M.J.2
-
46
-
-
0022962525
-
The identification of nonlinear biological systems: LNL cascade models
-
Korenberg, M. J. and Hunter, I. W., The identification of nonlinear biological systems: LNL cascade models, Biol. Cybern., 55, 125-134, 1986.
-
(1986)
Biol. Cybern.
, vol.55
, pp. 125-134
-
-
Korenberg, M.J.1
Hunter, I.W.2
-
47
-
-
0018674397
-
On representation and approximation of nonlinear systems
-
Palm, G., On representation and approximation of nonlinear systems, Biol. Cybern., 34, 49-52, 1979.
-
(1979)
Biol. Cybern.
, vol.34
, pp. 49-52
-
-
Palm, G.1
-
48
-
-
0026047591
-
Parallel cascade identification and kernel estimation for nonlinear systems
-
Korenberg, M. J., Parallel cascade identification and kernel estimation for nonlinear systems, Ann. Biomed. Eng., 19, 429-455, 1991.
-
(1991)
Ann. Biomed. Eng.
, vol.19
, pp. 429-455
-
-
Korenberg, M.J.1
-
49
-
-
0024504036
-
Signal transformation and coding in neural systems
-
Marmarelis, V. Z., Signal transformation and coding in neural systems, IEEE Trans. Biomed. Eng., 36, 15-24, 1989.
-
(1989)
IEEE Trans. Biomed. Eng.
, vol.36
, pp. 15-24
-
-
Marmarelis, V.Z.1
-
50
-
-
0027420259
-
A method for constructing data-based models of spiking neurons using a dynamic linear-static nonlinear cascade
-
Paulin, M. G., A method for constructing data-based models of spiking neurons using a dynamic linear-static nonlinear cascade, Biol. Cybern., 69, 67-76, 1993.
-
(1993)
Biol. Cybern.
, vol.69
, pp. 67-76
-
-
Paulin, M.G.1
-
51
-
-
0028745482
-
Use of eigenvector expansions in generalized Wiener system models
-
50a. Westwick, D. T. and Kearney, R. E., Use of eigenvector expansions in generalized Wiener system models, Proc. IEEE EMBS, 16, 1328-1329, 1994.
-
(1994)
Proc. IEEE EMBS
, vol.16
, pp. 1328-1329
-
-
Westwick, D.T.1
Kearney, R.E.2
-
52
-
-
0004236492
-
-
The Johns Hopkins University Press, Baltimore
-
Golub, G. and Van Loan, C., Matrix Computations, 2nd ed., The Johns Hopkins University Press, Baltimore, 1989.
-
(1989)
Matrix Computations, 2nd Ed.
-
-
Golub, G.1
Van Loan, C.2
-
53
-
-
0016136829
-
Identification of multi-input biological systems
-
Marmarelis, P. Z. and Naka, K. I., Identification of multi-input biological systems, IEEE Trans. Biomed. Eng., BME-21, 88-101, 1974.
-
(1974)
IEEE Trans. Biomed. Eng.
, vol.BME-21
, pp. 88-101
-
-
Marmarelis, P.Z.1
Naka, K.I.2
-
54
-
-
0018654777
-
Spatio-temporal receptive field measurement of retinal neurons by random pattern stimulation and cross correlation
-
Yasui, S., David, W., and Naka, K.-I., Spatio-temporal receptive field measurement of retinal neurons by random pattern stimulation and cross correlation, IEEE Trans. Biomed. Eng., BME-26, 263-272, 1979.
-
(1979)
IEEE Trans. Biomed. Eng.
, vol.BME-26
, pp. 263-272
-
-
Yasui, S.1
David, W.2
Naka, K.-I.3
-
55
-
-
0029757872
-
Identifying MIMO Hammerstein systems in the context of subspace model identification methods
-
Verhaegen, M. and Westwick, D., Identifying MIMO Hammerstein systems in the context of subspace model identification methods, Int. J. Control, 63, 331-349, 1996.
-
(1996)
Int. J. Control
, vol.63
, pp. 331-349
-
-
Verhaegen, M.1
Westwick, D.2
-
56
-
-
0029184531
-
Modeling and identification of parallel nonlinear systems: Structural classification and parameter estimation methods
-
Chen, H. W., Modeling and identification of parallel nonlinear systems: Structural classification and parameter estimation methods, Proc. IEEE, 83, 39-66, 1995.
-
(1995)
Proc. IEEE
, vol.83
, pp. 39-66
-
-
Chen, H.W.1
-
57
-
-
0025033348
-
Structural classification of multi-input nonlinear systems
-
Chen, H. W., Jacobsen, L. D., and Gaska, J. P., Structural classification of multi-input nonlinear systems, Biol. Cybern., 63, 341-357, 1990.
-
(1990)
Biol. Cybern.
, vol.63
, pp. 341-357
-
-
Chen, H.W.1
Jacobsen, L.D.2
Gaska, J.P.3
-
58
-
-
0030197651
-
Identifying MIMO Wiener systems using subspace model identification methods
-
Westwick, D. and Verhaegen, M., Identifying MIMO Wiener systems using subspace model identification methods, Sig. Proc., 52, 235-258, 1996.
-
(1996)
Sig. Proc.
, vol.52
, pp. 235-258
-
-
Westwick, D.1
Verhaegen, M.2
-
59
-
-
0027015915
-
A new algorithm for the identification of multiple-input Wiener systems
-
Westwick, D. T. and Kearney, R. E., A new algorithm for the identification of multiple-input Wiener systems, Biol. Cybern., 68, 75-85, 1992.
-
(1992)
Biol. Cybern.
, vol.68
, pp. 75-85
-
-
Westwick, D.T.1
Kearney, R.E.2
-
60
-
-
0022321501
-
Identifying noisy cascades of linear and static nonlinear systems
-
Korenberg, M. J., Identifying noisy cascades of linear and static nonlinear systems, IFAC Symp. Idem. Syst. Param. Est., 4, 421-426, 1985.
-
(1985)
IFAC Symp. Idem. Syst. Param. Est.
, vol.4
, pp. 421-426
-
-
Korenberg, M.J.1
-
61
-
-
0014566119
-
The pupillary control system, its nonlinear adaptive and stochastic engineering design characteristics
-
Stark, L., The pupillary control system, its nonlinear adaptive and stochastic engineering design characteristics, Automatica, 5, 655-676, 1969.
-
(1969)
Automatica
, vol.5
, pp. 655-676
-
-
Stark, L.1
-
62
-
-
0001085145
-
Determination of nonlinear functional response functions in rainfall runoff processes
-
Amorocho, J. and Brandstetter, A., Determination of nonlinear functional response functions in rainfall runoff processes, Water Resources Research, 7, 1087-1101, 1971.
-
(1971)
Water Resources Research
, vol.7
, pp. 1087-1101
-
-
Amorocho, J.1
Brandstetter, A.2
-
63
-
-
0031105344
-
Identification of physiological systems: A robust method for non-parametric impulse response estimation
-
Westwick, D. T. and Kearney, R. E., Identification of physiological systems: A robust method for non-parametric impulse response estimation, Med. Biol. Eng. Comput., 35, 83-90, 1997.
-
(1997)
Med. Biol. Eng. Comput.
, vol.35
, pp. 83-90
-
-
Westwick, D.T.1
Kearney, R.E.2
-
64
-
-
0015600163
-
Measuring the Wiener kernels of a non-linear system using the fast Fourier transform algorithm
-
French A. S. and Butz, E. G., Measuring the Wiener kernels of a non-linear system using the fast Fourier transform algorithm, Int. J. Control, 17, 529-539, 1973.
-
(1973)
Int. J. Control
, vol.17
, pp. 529-539
-
-
French, A.S.1
Butz, E.G.2
-
65
-
-
0017105288
-
Practical nonlinear system analysis by Wiener kernel estimation in the frequency domain
-
French, A. S., Practical nonlinear system analysis by Wiener kernel estimation in the frequency domain, Biol. Cybern., 24, 111-119, 1976.
-
(1976)
Biol. Cybern.
, vol.24
, pp. 111-119
-
-
French, A.S.1
-
66
-
-
0023820865
-
Exact orthogonal kernel estimation from finite data records: Extending Wiener's identification of nonlinear systems
-
Korenberg, M. J., Bruder, S. B., and McDroy, P. J., Exact orthogonal kernel estimation from finite data records: Extending Wiener's identification of nonlinear systems, Ann. Biomed. Eng., 16, 201-214, 1988.
-
(1988)
Ann. Biomed. Eng.
, vol.16
, pp. 201-214
-
-
Korenberg, M.J.1
Bruder, S.B.2
McDroy, P.J.3
-
69
-
-
0031965221
-
Factors affecting Volterra kernel estimation: Emphasis on lung tissue viscoelaslicity
-
to appear
-
Zhang, Q., Suki, B., Westwick, D. T., and Lutchen, K. R., Factors affecting Volterra kernel estimation: Emphasis on lung tissue viscoelaslicity, Ann. Biomed Eng., 1998; to appear 26(1).
-
(1998)
Ann. Biomed Eng.
, vol.26
, Issue.1
-
-
Zhang, Q.1
Suki, B.2
Westwick, D.T.3
Lutchen, K.R.4
-
70
-
-
0026187058
-
Adaptive polynomial filters
-
July
-
Mathews, V. J., Adaptive polynomial filters, IEEE Sig. Proc. Mag., July, 10-26, 1991.
-
(1991)
IEEE Sig. Proc. Mag.
, pp. 10-26
-
-
Mathews, V.J.1
-
71
-
-
0003807773
-
-
Prentice Hall, Englewood Cliffs, NJ
-
Haykin, S., Adaptive Filter Theory, Prentice Hall, Englewood Cliffs, NJ, 1991.
-
(1991)
Adaptive Filter Theory
-
-
Haykin, S.1
-
73
-
-
0025917822
-
Practical identification of functional expansions of nonlinear systems submitted to non-Gaussian inputs
-
Goussard, Y., Krenz, W. C., Stark, L., and Demoment, G., Practical identification of functional expansions of nonlinear systems submitted to non-Gaussian inputs, Ann. Biomed. Eng., 19, 401-427, 1991.
-
(1991)
Ann. Biomed. Eng.
, vol.19
, pp. 401-427
-
-
Goussard, Y.1
Krenz, W.C.2
Stark, L.3
Demoment, G.4
-
74
-
-
0016817967
-
Kernel method for nonlinear analysis: Identification of a biological control system
-
Watanabe, A. and Stark, L., Kernel method for nonlinear analysis: identification of a biological control system, Math. Biosci., 27, 99-108, 1975.
-
(1975)
Math. Biosci.
, vol.27
, pp. 99-108
-
-
Watanabe, A.1
Stark, L.2
-
75
-
-
0027688143
-
Identification of nonlinear biological systems using Laguerre expansions of kernels
-
Marmarelis, V. Z., Identification of nonlinear biological systems using Laguerre expansions of kernels, Ann. Biomed. Eng., 21, 573-589, 1993.
-
(1993)
Ann. Biomed. Eng.
, vol.21
, pp. 573-589
-
-
Marmarelis, V.Z.1
-
77
-
-
0008849668
-
Estimation of Wiener kernels of a nonlinear system and fast algorithm using digital Laguerre filters
-
Ogura, H., Estimation of Wiener kernels of a nonlinear system and fast algorithm using digital Laguerre filters, NIBB Conf., 15, 14-62, 1986.
-
(1986)
NIBB Conf.
, vol.15
, pp. 14-62
-
-
Ogura, H.1
-
78
-
-
0032067588
-
Sensitivity analysis of kernel estimates: Implications in nonlinear physiological system identification
-
Westwick, D. T., Suki, B., and Lutchen, K. R., Sensitivity analysis of kernel estimates: Implications in nonlinear physiological system identification, Ann. Biomed. Eng., 26, 488-501, 1998.
-
(1998)
Ann. Biomed. Eng.
, vol.26
, pp. 488-501
-
-
Westwick, D.T.1
Suki, B.2
Lutchen, K.R.3
-
79
-
-
0027689335
-
Modeling of neuronal systems by use of neuronal modes
-
Marmarelis, V. Z. and Orme, M. E., Modeling of neuronal systems by use of neuronal modes, IEEE Trans. Biomed. Eng., 40, 1149-1158, 1993.
-
(1993)
IEEE Trans. Biomed. Eng.
, vol.40
, pp. 1149-1158
-
-
Marmarelis, V.Z.1
Orme, M.E.2
-
81
-
-
0029392425
-
Nonlinear neuronal mode analysis of action potential encoding an the cockroach tactile spine neuron
-
French, A. S. and Marmarelis, V. Z., Nonlinear neuronal mode analysis of action potential encoding an the cockroach tactile spine neuron, Biol. Cybern., 73, 425-430, 1995.
-
(1995)
Biol. Cybern.
, vol.73
, pp. 425-430
-
-
French, A.S.1
Marmarelis, V.Z.2
-
82
-
-
0004128622
-
Crosscorrelation functions of amplitude-distorted Gaussian signals
-
MIT Electrical Research Lab
-
Bussgang, J. J., Crosscorrelation functions of amplitude-distorted Gaussian signals, Technical Report 216, MIT Electrical Research Lab, 1952.
-
(1952)
Technical Report
, vol.216
-
-
Bussgang, J.J.1
-
83
-
-
85069347872
-
Identification of biological cascades of linear and static nonlinear elements
-
18.2
-
Korenberg, M. J., Identification of biological cascades of linear and static nonlinear elements, Proc. Midwest Symp. Circ. Theory, 18.2, 1-9, 1973.
-
(1973)
Proc. Midwest Symp. Circ. Theory
, pp. 1-9
-
-
Korenberg, M.J.1
-
84
-
-
0026372989
-
Recent advances in the identification of nonlinear sytems: Minimum-variance approximation by Hammerstein models
-
Korenberg, M. J., Recent advances in the identification of nonlinear sytems: minimum-variance approximation by Hammerstein models, Proc. IEEE EMBS, 13, 2258-2259, 1991.
-
(1991)
Proc. IEEE EMBS
, vol.13
, pp. 2258-2259
-
-
Korenberg, M.J.1
-
85
-
-
0028539254
-
Convergence analysis of recursive identification algorithms based on the nonlinear Wiener model
-
Wigren, T., Convergence analysis of recursive identification algorithms based on the nonlinear Wiener model, IEEE Trans. Automatic Control, 39, 2191-2206, 1994.
-
(1994)
IEEE Trans. Automatic Control
, vol.39
, pp. 2191-2206
-
-
Wigren, T.1
-
86
-
-
0014641949
-
Rectification in the goldfish retina: Analysis by sinusoidal and auxiliary stimulation
-
Spekreijse, H., Rectification in the goldfish retina: analysis by sinusoidal and auxiliary stimulation, Vis. Res., 9, 1461-1472, 1969.
-
(1969)
Vis. Res.
, vol.9
, pp. 1461-1472
-
-
Spekreijse, H.1
-
87
-
-
0014768673
-
Linearizing: A method for analyzing and synthesizing nonlinear systems
-
Spekreijse, H. and Oosting, J., Linearizing: a method for analyzing and synthesizing nonlinear systems, Kybernetik, 7, 23-31, 1970.
-
(1970)
Kybernetik
, vol.7
, pp. 23-31
-
-
Spekreijse, H.1
Oosting, J.2
-
89
-
-
0346135786
-
Obtaining differential equation, functional expansion or cascade representations for nonlinear biological systems
-
Korenberg, M. J., Obtaining differential equation, functional expansion or cascade representations for nonlinear biological systems, Proc. N. Engl. Bioeng. Conf., 1, 237-245, 1973.
-
(1973)
Proc. N. Engl. Bioeng. Conf.
, vol.1
, pp. 237-245
-
-
Korenberg, M.J.1
-
90
-
-
0019899613
-
Identification of systems containing linear dynamic and static nonlinear elements
-
Billings, S. A. and Fakhouri, S. Y., Identification of systems containing linear dynamic and static nonlinear elements, Automatica, 18, 15-26, 1982.
-
(1982)
Automatica
, vol.18
, pp. 15-26
-
-
Billings, S.A.1
Fakhouri, S.Y.2
-
91
-
-
0020887896
-
Statistical identification of parallel cascades of linear and nonlinear systems
-
Korenberg, M. J., Statistical identification of parallel cascades of linear and nonlinear systems, IFAC Symp. Idem. Syst. Param. Est, 1, 669-674, 1982.
-
(1982)
IFAC Symp. Idem. Syst. Param. Est
, vol.1
, pp. 669-674
-
-
Korenberg, M.J.1
-
92
-
-
0025441256
-
Nonlinear system identification for cascaded block model: An application to electrode polarization impedance
-
Shi, J. and Sun, H. H., Nonlinear system identification for cascaded block model: An application to electrode polarization impedance, IEEE Trans. Biomed. Eng., 37, 574-587, 1990.
-
(1990)
IEEE Trans. Biomed. Eng.
, vol.37
, pp. 574-587
-
-
Shi, J.1
Sun, H.H.2
-
94
-
-
0023746985
-
White-noise analysis of nonlinear behavior in an insect sensory neuron: Kernel and cascade approaches
-
Korenberg, M. J., French, A. S., and Voo, S. K. L., White-noise analysis of nonlinear behavior in an insect sensory neuron: kernel and cascade approaches, Biol. Cybern., 58, 313-320, 1988.
-
(1988)
Biol. Cybern.
, vol.58
, pp. 313-320
-
-
Korenberg, M.J.1
French, A.S.2
Voo, S.K.L.3
-
95
-
-
0024653739
-
A nonlinear cascade model for action potential encoding in an insect sensory neuron
-
French, A. S. and Korenberg, M. J., A nonlinear cascade model for action potential encoding in an insect sensory neuron, Biophys. J., 55, 655-661, 1989.
-
(1989)
Biophys. J.
, vol.55
, pp. 655-661
-
-
French, A.S.1
Korenberg, M.J.2
-
96
-
-
0027209287
-
The dynamic nonlinear behavior of fly photoreceptors evoked by a wide range of light intensities
-
French, A. S., Korenberg, M. J., Jarvilehto, M., Kouvalainen, E., Juusola, M., and Weckstrom, M., The dynamic nonlinear behavior of fly photoreceptors evoked by a wide range of light intensities, Biophys. J., 65, 832-839, 1993.
-
(1993)
Biophys. J.
, vol.65
, pp. 832-839
-
-
French, A.S.1
Korenberg, M.J.2
Jarvilehto, M.3
Kouvalainen, E.4
Juusola, M.5
Weckstrom, M.6
-
98
-
-
0031239123
-
Generalized eigenvector algorithm for nonlinear system identification with non-white inputs
-
Westwick, D. T. and Kearney, R. E., Generalized eigenvector algorithm for nonlinear system identification with non-white inputs, Ann. Biomed. Eng., 25, 802-814, 1997.
-
(1997)
Ann. Biomed. Eng.
, vol.25
, pp. 802-814
-
-
Westwick, D.T.1
Kearney, R.E.2
-
99
-
-
0021587828
-
Statistical identification of Volterra kernels of high order systems
-
Korenberg, M. J., Statistical identification of Volterra kernels of high order systems, IEEE Symp. Circ. Syst., 2, 570-575, 1984.
-
(1984)
IEEE Symp. Circ. Syst.
, vol.2
, pp. 570-575
-
-
Korenberg, M.J.1
-
101
-
-
0346766326
-
Identification of high-order nonlinear systems using the parallel cascade method
-
Westwick, D. T. and Kearney, R. E., Identification of high-order nonlinear systems using the parallel cascade method, Proc. Can. Med. Biol. Eng. Conf., 19, 200-201, 1993.
-
(1993)
Proc. Can. Med. Biol. Eng. Conf.
, vol.19
, pp. 200-201
-
-
Westwick, D.T.1
Kearney, R.E.2
-
103
-
-
0031106083
-
Modeling methodology for nonlinear physiological systems
-
Marmarelis, V. Z., Modeling methodology for nonlinear physiological systems, Ann. Biomed. Eng., 25, 239-251, 1997.
-
(1997)
Ann. Biomed. Eng.
, vol.25
, pp. 239-251
-
-
Marmarelis, V.Z.1
-
104
-
-
0027665717
-
Subspace-based signal analysis using singular value decomposition
-
van der Veen, A. J., Deprettere, F., and Swindlehurst, A. L., Subspace-based signal analysis using singular value decomposition, Proc. IEEE, 81, 1277-1308, 1993.
-
(1993)
Proc. IEEE
, vol.81
, pp. 1277-1308
-
-
Van Der Veen, A.J.1
Deprettere, F.2
Swindlehurst, A.L.3
-
105
-
-
0027589792
-
Subspace algorithms for the stochastic identification problem
-
van Overschee, P. and de Moor, B., Subspace algorithms for the stochastic identification problem, Automatica, 29, 649-660, 1993.
-
(1993)
Automatica
, vol.29
, pp. 649-660
-
-
Van Overschee, P.1
De Moor, B.2
-
106
-
-
0028330583
-
N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems
-
van Overschee, P. and de Moor, B., N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems, Automatica, 30, 75-93, 1994.
-
(1994)
Automatica
, vol.30
, pp. 75-93
-
-
Van Overschee, P.1
De Moor, B.2
-
107
-
-
0041972974
-
Subspace model identification part 3. Analysis of the ordinary output-error state-space model identification algorithm
-
Verhaegen, M., Subspace model identification part 3. Analysis of the ordinary output-error state-space model identification algorithm, Int. J. Control, 58, 555-586, 1993.
-
(1993)
Int. J. Control
, vol.58
, pp. 555-586
-
-
Verhaegen, M.1
-
108
-
-
0028330582
-
Identification of the deterministic part of MIMO state space models given in innovations form from input-output data
-
Verhaegen, M., Identification of the deterministic part of MIMO state space models given in innovations form from input-output data, Automatica, 30, 61-74, 1994.
-
(1994)
Automatica
, vol.30
, pp. 61-74
-
-
Verhaegen, M.1
-
109
-
-
0001624280
-
Subspace identification part 2. Analysis of the elementary output-error state-space model identification algorithm
-
Verhaegen, M. and De Wilde, P., Subspace identification part 2. Analysis of the elementary output-error state-space model identification algorithm, Int. J. Control, 56, 1211-1241, 1992.
-
(1992)
Int. J. Control
, vol.56
, pp. 1211-1241
-
-
Verhaegen, M.1
De Wilde, P.2
-
110
-
-
0030534303
-
A subspace model identification solution to the identification of mixed causal, anti-causal LTI systems
-
Verhaegen, M., A subspace model identification solution to the identification of mixed causal, anti-causal LTI systems, SIAM J. Matrix Anal. Appl., 17, 332-347, 1996.
-
(1996)
SIAM J. Matrix Anal. Appl.
, vol.17
, pp. 332-347
-
-
Verhaegen, M.1
-
111
-
-
0029247727
-
A class of subspace model identification algorithms to identify periodically and arbitrarily time-varying systems
-
Verhaegen, M. and Yu, X., A class of subspace model identification algorithms to identify periodically and arbitrarily time-varying systems, Automatica, 31, 201-216, 1995.
-
(1995)
Automatica
, vol.31
, pp. 201-216
-
-
Verhaegen, M.1
Yu, X.2
-
112
-
-
0029322274
-
Fast subspace-based system identification: An instrumental variable approach
-
Cho, Y. M. and Kailath, T., Fast subspace-based system identification: An instrumental variable approach, Automatica, 31, 903-905, 1995.
-
(1995)
Automatica
, vol.31
, pp. 903-905
-
-
Cho, Y.M.1
Kailath, T.2
-
113
-
-
0028527731
-
Fast identification of state-space models via exploitation of displacement structure
-
Cho, Y. M., Xu, G., and Kailath, T., Fast identification of state-space models via exploitation of displacement structure, IEEE Trans. Automatic Control, 39, 2004-2017, 1994.
-
(1994)
IEEE Trans. Automatic Control
, vol.39
, pp. 2004-2017
-
-
Cho, Y.M.1
Xu, G.2
Kailath, T.3
-
114
-
-
0347396848
-
An efficient implementation of the PI subspace state-space system identification algorithm
-
Westwick, D. T., Kearney, R. E., and Verhaegen, M. H., An efficient implementation of the PI subspace state-space system identification algorithm, Proc. IEEE EMBS, 18, 690, 1996.
-
(1996)
Proc. IEEE EMBS
, vol.18
, pp. 690
-
-
Westwick, D.T.1
Kearney, R.E.2
Verhaegen, M.H.3
-
115
-
-
0024631931
-
Representation of non-linear systems: The NARMAX model
-
Chen, S. and Billings S. A., Representation of non-linear systems: the NARMAX model, Int. J. Control 49, 1013-1032, 1989.
-
(1989)
Int. J. Control
, vol.49
, pp. 1013-1032
-
-
Chen, S.1
Billings, S.A.2
-
116
-
-
0022011031
-
Input-output parametric models for non-linear systems part I: Deterministic non-linear systems
-
Leontaritis, I. J. and Billings, S. A., Input-output parametric models for non-linear systems part I: deterministic non-linear systems, Int. J. Control, 41, 303-328, 1985.
-
(1985)
Int. J. Control
, vol.41
, pp. 303-328
-
-
Leontaritis, I.J.1
Billings, S.A.2
-
117
-
-
0022011215
-
Input-output parametric models for non-linear systems part II: Stochastic non-linear systems
-
Leontaritis, I. J. and Billings, S. A., Input-output parametric models for non-linear systems part II: stochastic non-linear systems, Int. J. Control 41, 329-344, 1985.
-
(1985)
Int. J. Control
, vol.41
, pp. 329-344
-
-
Leontaritis, I.J.1
Billings, S.A.2
-
118
-
-
0024628610
-
Identification of non-linear rational systems using a prediction-error estimation algorithm
-
Billings, S. A. and Chen, S., Identification of non-linear rational systems using a prediction-error estimation algorithm, Int. J. Syst. Sci., 20, 467-494, 1989.
-
(1989)
Int. J. Syst. Sci.
, vol.20
, pp. 467-494
-
-
Billings, S.A.1
Chen, S.2
-
119
-
-
0002842144
-
Identification of Nonlinear Dynamic Systems
-
Haber, R. and Keviczky, L., Identification of Nonlinear Dynamic Systems, IFAC Symp. Idem. Syst. Param. Est., 4, 79-126, 1976.
-
(1976)
IFAC Symp. Idem. Syst. Param. Est.
, vol.4
, pp. 79-126
-
-
Haber, R.1
Keviczky, L.2
-
120
-
-
0031238599
-
Application of fast orthogonal search to linear and nonlinear stochastic systems
-
118a. Chon, K. H., Korenberg, M. J., and Holstein-Rathlou, N.-H., Application of fast orthogonal search to linear and nonlinear stochastic systems, Ann. Biomed. Eng., 25, 793-801, 1997.
-
(1997)
Ann. Biomed. Eng.
, vol.25
, pp. 793-801
-
-
Chon, K.H.1
Korenberg, M.J.2
Holstein-Rathlou, N.-H.3
-
121
-
-
0346766321
-
Orthogonal least-squares parameter estimation algorithms for non-linear stochastic systems
-
Billings, S. A. and Jones, G. N., Orthogonal least-squares parameter estimation algorithms for non-linear stochastic systems, Int. J. Syst. Sci., 23, 1019-1032, 1992.
-
(1992)
Int. J. Syst. Sci.
, vol.23
, pp. 1019-1032
-
-
Billings, S.A.1
Jones, G.N.2
-
122
-
-
0024067409
-
Identification of non-linear output-affine systems using an orthogonal least-squares algorithm
-
Billings, S. A., Korenberg, M. J., and Chen, S., Identification of non-linear output-affine systems using an orthogonal least-squares algorithm, Int. J. Syst. Sci., 19, 1559-1568, 1988.
-
(1988)
Int. J. Syst. Sci.
, vol.19
, pp. 1559-1568
-
-
Billings, S.A.1
Korenberg, M.J.2
Chen, S.3
-
123
-
-
0024487978
-
A robust orthogonal algorithm for system identification and time series analysis
-
Korenberg, M. J., A robust orthogonal algorithm for system identification and time series analysis, Biol. Cybern., 60, 267-276, 1989.
-
(1989)
Biol. Cybern.
, vol.60
, pp. 267-276
-
-
Korenberg, M.J.1
-
124
-
-
0031224757
-
Algorithms for minimal model structure detection in nonlinear dynamic system identification
-
121a. Mao, K. Z. and Billings, S. A., Algorithms for minimal model structure detection in nonlinear dynamic system identification, Int. J. Control 68, 311-330, 1997.
-
(1997)
Int. J. Control
, vol.68
, pp. 311-330
-
-
Mao, K.Z.1
Billings, S.A.2
-
125
-
-
0016922842
-
On least-squares algorithms for system parameter identification
-
Hsia, T. C., On least-squares algorithms for system parameter identification, IEEE Trans. Automatic Control, 21, 104-108, 1976.
-
(1976)
IEEE Trans. Automatic Control
, vol.21
, pp. 104-108
-
-
Hsia, T.C.1
-
128
-
-
0028733792
-
Calculation of the Volterra kernels of non-linear dynamic systems using an artificial neural network
-
Wray, J. and Green, G. G. R., Calculation of the Volterra kernels of non-linear dynamic systems using an artificial neural network, Biol. Cybern., 71, 187-195, 1994.
-
(1994)
Biol. Cybern.
, vol.71
, pp. 187-195
-
-
Wray, J.1
Green, G.G.R.2
-
129
-
-
0025448276
-
Non-linear system identification using neural networks
-
Chen, S., Billings, S. A., and Grant, P. M., Non-linear system identification using neural networks, Int. J. Control, 51, 1191-1214, 1990.
-
(1990)
Int. J. Control
, vol.51
, pp. 1191-1214
-
-
Chen, S.1
Billings, S.A.2
Grant, P.M.3
-
130
-
-
0022787109
-
A prediction-error and stepwise-regression estimation algorithm for non-linear systems
-
Billings, S. A. and Voon, W. S. F., A prediction-error and stepwise-regression estimation algorithm for non-linear systems, Int. J. Control, 44, 803-822, 1986.
-
(1986)
Int. J. Control
, vol.44
, pp. 803-822
-
-
Billings, S.A.1
Voon, W.S.F.2
-
132
-
-
0031106678
-
Linear and nonlinear ARMA model parameter estimation using an artificial neural network
-
Chon, K. H. and Cohen, R. J., Linear and nonlinear ARMA model parameter estimation using an artificial neural network, IEEE Trans. Biomed. Eng., 44, 168-174, 1997.
-
(1997)
IEEE Trans. Biomed. Eng.
, vol.44
, pp. 168-174
-
-
Chon, K.H.1
Cohen, R.J.2
-
133
-
-
0026116468
-
Orthogonal least squares learning algorithm for radial basis function networks
-
Chen, S., Cowan, C. F. N., and Grant, P. M., Orthogonal least squares learning algorithm for radial basis function networks, IEEE Trans. Neur. Net., 2, 302-309, 1991.
-
(1991)
IEEE Trans. Neur. Net.
, vol.2
, pp. 302-309
-
-
Chen, S.1
Cowan, C.F.N.2
Grant, P.M.3
-
134
-
-
84950967431
-
Non-linear systems identification using radial basis functions
-
Chen, S., Billings, S. A., Cowan, C. F. N., and Grant, P. M., Non-linear systems identification using radial basis functions, Int. J. Syst. Sci., 21, 2513-2539, 1990.
-
(1990)
Int. J. Syst. Sci.
, vol.21
, pp. 2513-2539
-
-
Chen, S.1
Billings, S.A.2
Cowan, C.F.N.3
Grant, P.M.4
-
135
-
-
0025669403
-
Practical identification of NARMAX models using radial basis functions
-
Chen, S., Billings, S. A., Cowan, C. F. N., and Grant, P. M., Practical identification of NARMAX models using radial basis functions, Int. J. Control, 52, 1327-1350, 1990.
-
(1990)
Int. J. Control
, vol.52
, pp. 1327-1350
-
-
Chen, S.1
Billings, S.A.2
Cowan, C.F.N.3
Grant, P.M.4
-
136
-
-
84947626826
-
Recursive hybrid algorithm for non-linear system identification using radial basis function networks
-
Chen, S., Billings, S. A., and Grant, P. M., Recursive hybrid algorithm for non-linear system identification using radial basis function networks, Int. J. Control, 55, 1051-1070, 1992.
-
(1992)
Int. J. Control
, vol.55
, pp. 1051-1070
-
-
Chen, S.1
Billings, S.A.2
Grant, P.M.3
|