Идентификация объектов управления. Семенов А.Д - 213 стр.

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111. Heredia E. A., Arce G. R. Piecewise Volterra filters based on the
threshold decomposition operator // Proc. IEEE Int. Conf. on Acoustics, Speech and
Signal Processing, Atlanta, 1996.
112.
Kadyrov A., Tkacheva O., Shcherbakov M. A. A novel approach for
recognition of images and their orientation // Fourth IMA International Conference
on Mathematics in Signal Processing: Conference Digest, University of Warwick,
UK, 1996. − Part 2. − P. 9−12.
113.
Êaiser J. F. On a simple algorithm to calculate the ‘energy’ of a signal //
Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Albuquerque,
April, 1991. − P. 381−384.
114.
Kroeker J. P. Wiener analysis of nonlinear systems using Poisson-
Charlier crosscorrelation // Biol. Cybernetics. − 1977. − V. 27. − ¹ 4. − P. 221−227.
115.
Larsen J. Design of neural network filters. Ph.D thesis. Technical
University of Denmark, 1996. − 427 p.
116.
Lasenby J., Fitzgerald W. J. Entropic Volterra classifier (EVC) for use in
data classification // Electron. Lett. − 1994. − V. 30. − ¹ 1. − P. 53−54.
117.
Lee Y. W., Schetzen M. Measurement of the Wiener kernels of
nonlinear system by crosscorrelation // Int. Journal of Control. − 1965. − V. 2. −
P. 237−254.
118.
Mansour D., Gray A. H. Frequency domain non-linear adaptive filter //
Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Atlanta, 1981. −
P. 550−553.
119.
Mertzios B. G. Parallel modeling and structure of nonlinear Volterra
discrete systems // IEEE Trans. on Circuits and Systems. − 1994.− V. 41.− ¹ 5.− P.
359−371.
120.
Mitra S. K., Li H., Lin I. S., Yu T.-H. A new class of nonlinear filters for
image enhancement // Proc. IEEE Int. Conf. on Acoust., Speech and Signal
Processing, Toronto, Canada, 1991. − P. 2525 −2528. 
      111. Heredia E. A., Arce G. R. Piecewise Volterra filters based on the
threshold decomposition operator // Proc. IEEE Int. Conf. on Acoustics, Speech and
Signal Processing, Atlanta, 1996.
      112. Kadyrov A., Tkacheva O., Shcherbakov M. A. A novel approach for
recognition of images and their orientation // Fourth IMA International Conference
on Mathematics in Signal Processing: Conference Digest, University of Warwick,
UK, 1996. − Part 2. − P. 9−12.
      113. Êaiser J. F. On a simple algorithm to calculate the ‘energy’ of a signal //
Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Albuquerque,
April, 1991. − P. 381−384.
      114. Kroeker J. P. Wiener analysis of nonlinear systems using Poisson-
Charlier crosscorrelation // Biol. Cybernetics. − 1977. − V. 27. − ¹ 4. − P. 221−227.
      115. Larsen J. Design of neural network filters. Ph.D thesis. Technical
University of Denmark, 1996. − 427 p.
      116. Lasenby J., Fitzgerald W. J. Entropic Volterra classifier (EVC) for use in
data classification // Electron. Lett. − 1994. − V. 30. − ¹ 1. − P. 53−54.
      117. Lee Y. W., Schetzen M. Measurement of the Wiener kernels of
nonlinear system by crosscorrelation // Int. Journal of Control. − 1965. − V. 2. −
P. 237−254.
      118. Mansour D., Gray A. H. Frequency domain non-linear adaptive filter //
Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Atlanta, 1981. −
P. 550−553.
      119. Mertzios B. G. Parallel modeling and structure of nonlinear Volterra
discrete systems // IEEE Trans. on Circuits and Systems. − 1994.− V. 41.− ¹ 5.− P.
359−371.
      120. Mitra S. K., Li H., Lin I. S., Yu T.-H. A new class of nonlinear filters for
image enhancement // Proc. IEEE Int. Conf. on Acoust., Speech and Signal
Processing, Toronto, Canada, 1991. − P. 2525 −2528.

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