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Volumn 53, Issue 5, 2005, Pages 1827-1836

Nonlinear adaptive prediction of complex-valued signals by complex-valued PRNN

Author keywords

Complex valued analysis; Multidimension forecasting; Nonlinear adaptive prediction; RNNs

Indexed keywords

ADAPTIVE FILTERING; COMPUTER SIMULATION; FIR FILTERS; LEARNING ALGORITHMS; SIGNAL PROCESSING;

EID: 18844423555     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2005.845462     Document Type: Article
Times cited : (51)

References (40)
  • 1
    • 0026845135 scopus 로고
    • "On the complex backpropagation algorithm"
    • Apr
    • N. Benvenuto and F. Piazza, "On the complex backpropagation algorithm," IEEE Trans. Signal Process., vol. 40, no. 4, pp. 967-969, Apr. 1992.
    • (1992) IEEE Trans. Signal Process. , vol.40 , Issue.4 , pp. 967-969
    • Benvenuto, N.1    Piazza, F.2
  • 3
    • 0031197661 scopus 로고    scopus 로고
    • "Optimal nonlinear adaptive prediction and modeling of MPEG video in ATM networks using pipelined recurrent neural networks"
    • Aug
    • P. R. Chang and J. T. Hu, "Optimal nonlinear adaptive prediction and modeling of MPEG video in ATM networks using pipelined recurrent neural networks," IEEE J. Sel. Areas Commun., vol. 15, no. 6, pp. 1087-1100, Aug. 1997.
    • (1997) IEEE J. Sel. Areas Commun. , vol.15 , Issue.6 , pp. 1087-1100
    • Chang, P.R.1    Hu, J.T.2
  • 4
    • 0028401357 scopus 로고    scopus 로고
    • "Recurrent neural networks and robust time series prediction"
    • Mar
    • J. T. Connor, R. D. Martin, and L. E. Atlas, "Recurrent neural networks and robust time series prediction," IEEE Trans. Neural Networks, vol. 5, no. 2, pp. 240-254, Mar. 2001.
    • (2001) IEEE Trans. Neural Networks , vol.5 , Issue.2 , pp. 240-254
    • Connor, J.T.1    Martin, R.D.2    Atlas, L.E.3
  • 5
    • 0024861871 scopus 로고
    • "Approximation by superpositions of a sigmoidal function"
    • G. Cybenko, "Approximation by superpositions of a sigmoidal function," Math. Contr., Signals, Syst., vol. 2, pp. 303-314, 1989.
    • (1989) Math. Contr., Signals, Syst. , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 6
    • 0030168599 scopus 로고    scopus 로고
    • "Rapid design of neural networks for time series prediction"
    • Summer
    • R. Drossu and Z Obradovic "Rapid design of neural networks for time series prediction," IEEE Computat. Sci. Eng., vol. 3, no. 2, pp. 78-89, Summer 1996.
    • (1996) IEEE Computat. Sci. Eng. , vol.3 , Issue.2 , pp. 78-89
    • Drossu, R.1    Obradovic, Z.2
  • 7
    • 0024866495 scopus 로고
    • "On the approximate realization of continuous mappings by neural networks"
    • K. I. Funahashi, "On the approximate realization of continuous mappings by neural networks," Neural Networks, vol. 2, pp. 183-192, 1989.
    • (1989) Neural Networks , vol.2 , pp. 183-192
    • Funahashi, K.I.1
  • 10
    • 0041833491 scopus 로고    scopus 로고
    • "Recurrent neural networks with trainable amplitude of activation functions"
    • S. L. Goh and D. P. Mandic, "Recurrent neural networks with trainable amplitude of activation functions," Neural Netw., vol. 16, no. 8, pp. 1095-1100, 2003.
    • (2003) Neural Netw. , vol.16 , Issue.8 , pp. 1095-1100
    • Goh, S.L.1    Mandic, D.P.2
  • 11
    • 0036698981 scopus 로고    scopus 로고
    • "Nonlinear FIR adaptive filters with a gradient adaptive amplitude in the nonlinearity"
    • Aug
    • A. I. Hanna and D. P. Mandic, "Nonlinear FIR adaptive filters with a gradient adaptive amplitude in the nonlinearity," IEEE Signal Process. Lett., vol. 9, no. 8, pp. 253-255, Aug. 2002.
    • (2002) IEEE Signal Process. Lett. , vol.9 , Issue.8 , pp. 253-255
    • Hanna, A.I.1    Mandic, D.P.2
  • 12
    • 0037335393 scopus 로고    scopus 로고
    • "A complex-valued nonlinear neural adaptive filter with a gradient adaptive amplitude of the activation function"
    • A. I. Hanna and D. P. Mandic, "A complex-valued nonlinear neural adaptive filter with a gradient adaptive amplitude of the activation function," Neural Networks Lett.: Neural Netw., vol. 16, no. 2, pp. 155-159, 2003.
    • (2003) Neural Networks Lett.: Neural Netw. , vol.16 , Issue.2 , pp. 155-159
    • Hanna, A.I.1    Mandic, D.P.2
  • 14
    • 0029252331 scopus 로고
    • "Nonlinear adaptive prediction of nonstationary signals"
    • Feb
    • S. Haykin and L. Li, "Nonlinear adaptive prediction of nonstationary signals," IEEE Trans. Signal Process., vol. 43, no. 2, pp. 526-535, Feb. 1995.
    • (1995) IEEE Trans. Signal Process. , vol.43 , Issue.2 , pp. 526-535
    • Haykin, S.1    Li, L.2
  • 15
    • 0024880831 scopus 로고
    • "Multilayer feedforward networks are universal approximations"
    • K. Hornik, M. Stinchcombe, and H. White, "Multilayer feedforward networks are universal approximations," Neural Netw., vol. 2, pp. 359-366, 1989.
    • (1989) Neural Netw. , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 16
    • 0037715091 scopus 로고    scopus 로고
    • "A power control scheme with link gain prediction using PRNN/ERLS for DS-CDMA cellular mobile systems"
    • Y.L. Hsieh, C. J. Chang, and Y. S. Chen, "A power control scheme with link gain prediction using PRNN/ERLS for DS-CDMA cellular mobile systems," in Proc. IEEE Int. Conf. Commun., vol. 1, 2003, pp. 407-411.
    • (2003) Proc. IEEE Int. Conf. Commun. , vol.1 , pp. 407-411
    • Hsieh, Y.L.1    Chang, C.J.2    Chen, Y.S.3
  • 18
    • 0035783804 scopus 로고    scopus 로고
    • "Approximation by fully complex MLP using elementary transcendental activation functions"
    • T. Kim and T. Adali, "Approximation by fully complex MLP using elementary transcendental activation functions," in Proc. XI IEEE Workshop Neural Networks Signal Process., 2001, pp. 203-212.
    • (2001) Proc. XI IEEE Workshop Neural Networks Signal Process. , pp. 203-212
    • Kim, T.1    Adali, T.2
  • 19
    • 0034852531 scopus 로고    scopus 로고
    • "Complex backpropagation neural network using elementary transcendental activation functions"
    • T. Kim and T. Adali, "Complex backpropagation neural network using elementary transcendental activation functions," in Proc. Int. Conf. Acoust., Speech, Signal Process., vol. 2, 2001, pp. 1281-1284.
    • (2001) Proc. Int. Conf. Acoust., Speech, Signal Process. , vol.2 , pp. 1281-1284
    • Kim, T.1    Adali, T.2
  • 20
    • 0038159963 scopus 로고    scopus 로고
    • "Approximation by fully complex multilayer perceptrons"
    • T. Kim and T. Adali, "Approximation by fully complex multilayer perceptrons," Neural Comput., vol. 15, no. 7, pp. 1641-1666, 2003.
    • (2003) Neural Comput. , vol.15 , Issue.7 , pp. 1641-1666
    • Kim, T.1    Adali, T.2
  • 21
    • 0034852692 scopus 로고    scopus 로고
    • "A fully adaptive normalized nonlinear gradient descent algorithm for nonlinear system identification"
    • I. R. Krcmar and D. P. Mandic, "A fully adaptive normalized nonlinear gradient descent algorithm for nonlinear system identification," in Proc. Int. Conf. Acoust., Speech, Signal Process., vol. 6, 2001, pp. 3493-3496.
    • (2001) Proc. Int. Conf. Acoust., Speech, Signal Process. , vol.6 , pp. 3493-3496
    • Krcmar, I.R.1    Mandic, D.P.2
  • 22
    • 0026219227 scopus 로고
    • "The complex backpropagation algorithm"
    • Sep
    • H. Leung and S. Haykin, "The complex backpropagation algorithm," IEEE Trans. Signal Process., vol. 39, no. 9, pp. 2101-2104, Sep. 1991.
    • (1991) IEEE Trans. Signal Process. , vol.39 , Issue.9 , pp. 2101-2104
    • Leung, H.1    Haykin, S.2
  • 23
    • 0016495091 scopus 로고
    • "Linear prediction: A tutorial review"
    • Apr
    • J. Makhoul, "Linear prediction: A tutorial review," Proc. IEEE, vol. 63, no. 4, pp. 140-148, Apr. 1975.
    • (1975) Proc. IEEE , vol.63 , Issue.4 , pp. 140-148
    • Makhoul, J.1
  • 24
    • 0342336543 scopus 로고    scopus 로고
    • "Nonlinear adaptive prediction of speech with a pipelined recurrent neural network and advanced learning algorithms"
    • A. Prochazka, J. Uhlir, P. W. Rayner, and N. G. Kingsbury, Eds. Boston, MA: Birkhauser
    • D. Mandic, J. Baltersee, and J. Chambers, "Nonlinear adaptive prediction of speech with a pipelined recurrent neural network and advanced learning algorithms," in Signal Analysis and Prediction, A. Prochazka, J. Uhlir, P. W. Rayner, and N. G. Kingsbury, Eds. Boston, MA: Birkhauser, 1998.
    • (1998) Signal Analysis and Prediction
    • Mandic, D.1    Baltersee, J.2    Chambers, J.3
  • 25
    • 0000005113 scopus 로고    scopus 로고
    • "Relating the slope of the activation function and the learning rate within a recurrent neural network"
    • D. P. Mandic and J. A. Chambers, "Relating the slope of the activation function and the learning rate within a recurrent neural network," Neural Comput., vol. 11, no. 5, pp. 1069-1077, 1999.
    • (1999) Neural Comput. , vol.11 , Issue.5 , pp. 1069-1077
    • Mandic, D.P.1    Chambers, J.A.2
  • 26
    • 0033309094 scopus 로고    scopus 로고
    • "Toward an optimal PRNN-based nonlinear predictor"
    • Nov
    • D. P. Mandic and J. A. Chambers, "Toward an optimal PRNN-based nonlinear predictor," IEEE Trans. Neural Networks, vol. 10, no. 6, pp. 1435-1442, Nov. 1999.
    • (1999) IEEE Trans. Neural Networks , vol.10 , Issue.6 , pp. 1435-1442
    • Mandic, D.P.1    Chambers, J.A.2
  • 27
    • 0033751613 scopus 로고    scopus 로고
    • "On the choice of parameters of the cost function in nested modular RNNs"
    • Mar
    • D. P. Mandic and J. A. Chambers, "On the choice of parameters of the cost function in nested modular RNNs," IEEE Trans. Neural Networks , vol. 11, no. 2, pp. 315-322, Mar. 2000.
    • (2000) IEEE Trans. Neural Networks , vol.11 , Issue.2 , pp. 315-322
    • Mandic, D.P.1    Chambers, J.A.2
  • 30
    • 0025399567 scopus 로고
    • "Identification and control of dynamical systems using neural networks"
    • Mar
    • K. S. Narendra and K. Parthasarathy, "Identification and control of dynamical systems using neural networks," IEEE Trans. Neural Networks, vol. 1, no. 1, pp. 4-27, Mar. 1990.
    • (1990) IEEE Trans. Neural Networks , vol.1 , Issue.1 , pp. 4-27
    • Narendra, K.S.1    Parthasarathy, K.2
  • 32
    • 0001382203 scopus 로고
    • "Neural networks and nonlinear adaptive filtering: Unifying concepts and new algorithms"
    • O. Nerrand, P. Roussel-Ragot, L. Personnaz, and G. Dreyfus, "Neural networks and nonlinear adaptive filtering: unifying concepts and new algorithms," Neural Comput., vol. 5, pp. 165-199, 1993.
    • (1993) Neural Comput. , vol.5 , pp. 165-199
    • Nerrand, O.1    Roussel-Ragot, P.2    Personnaz, L.3    Dreyfus, G.4
  • 34
    • 18844376106 scopus 로고    scopus 로고
    • "An intelligent transmission controller for TDMA/PRMA wireless multimedia communication systems"
    • F. C. Ren, C. J. Chang, and R. G. Cheng, "An intelligent transmission controller for TDMA/PRMA wireless multimedia communication systems," in Proc. IEEE 50th Vehicular Technol. Conf., vol. 1, 1999, pp. 406-410.
    • (1999) Proc. IEEE 50th Vehicular Technol. Conf. , vol.1 , pp. 406-410
    • Ren, F.C.1    Chang, C.J.2    Cheng, R.G.3
  • 35
    • 0035024581 scopus 로고    scopus 로고
    • "Networks with trainable amplitude of activation functions"
    • E. Trentin, "Networks with trainable amplitude of activation functions," Neural Networks, vol. 14, no. 5, pp. 471-493, 2001.
    • (2001) Neural Networks , vol.14 , Issue.5 , pp. 471-493
    • Trentin, E.1
  • 36
    • 33646241633 scopus 로고    scopus 로고
    • "Learning long-term dependencies in NARX recurrent neural networks"
    • Nov
    • L. Tsungnan, B. G. Horne, P. Tino, and C. L. Giles, "Learning long-term dependencies in NARX recurrent neural networks," IEEE Trans. Neural Networks, vol. 7, no. 6, pp. 1329-1338, Nov. 1996.
    • (1996) IEEE Trans. Neural Networks , vol.7 , Issue.6 , pp. 1329-1338
    • Tsungnan, L.1    Horne, B.G.2    Tino, P.3    Giles, C.L.4
  • 38
    • 0025488663 scopus 로고
    • "30 years of adaptive neural networks: Perceptron, madaline, and backpropagation"
    • Sep
    • B. Widrow and M. A. Lehr, "30 years of adaptive neural networks: perceptron, madaline, and backpropagation," Proc. IEEE, vol. 78, no. 9, pp. 1415-1442, Sep. 1990.
    • (1990) Proc. IEEE , vol.78 , Issue.9 , pp. 1415-1442
    • Widrow, B.1    Lehr, M.A.2
  • 39
    • 0016494934 scopus 로고
    • "The complex LMS algorithm"
    • B. Widrow, J. McCool, and M. Ball, "The complex LMS algorithm," Proc. IEEE, vol. 63, pp. 712-720, 1975.
    • (1975) Proc. IEEE , vol.63 , pp. 712-720
    • Widrow, B.1    McCool, J.2    Ball, M.3
  • 40
    • 0001202594 scopus 로고
    • "A learning algorithm for continually running fully recurrent neural networks"
    • R. J. Williams and D. A. Zipser, "A learning algorithm for continually running fully recurrent neural networks," Neural Comput., vol. 1, no. 2, pp. 270-280, 1989.
    • (1989) Neural Comput. , vol.1 , Issue.2 , pp. 270-280
    • Williams, R.J.1    Zipser, D.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.