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Volumn 6, Issue 6, 1995, Pages 1552-1556

Multidimensional Wavelet Frames

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; FOURIER TRANSFORMS; FREQUENCY DOMAIN ANALYSIS; INTEGRATION; NEURAL NETWORKS; THEOREM PROVING;

EID: 0029403809     PISSN: 10459227     EISSN: 19410093     Source Type: Journal    
DOI: 10.1109/72.471353     Document Type: Letter
Times cited : (106)

References (13)
  • 1
    • 33750108004 scopus 로고
    • Discrete affine wavelet transforms for analysis and synthesis feedforward neural networks
    • R. Lippman, J. Moody, and D. Touretzky, Eds. San Mateo, CA: Morgan Kaufmann
    • Y. C. Pati and P. S. Krishnaprasad, “Discrete affine wavelet transforms for analysis and synthesis feedforward neural networks,” in Advances in Neural Information Pmcessing Systems III, R. Lippman, J. Moody, and D. Touretzky, Eds. San Mateo, CA: Morgan Kaufmann, 1990, pp. 743–749.
    • (1990) Advances in Neural Information Pmcessing Systems III , pp. 743-749
    • Pati, Y.C.1    Krishnaprasad, P.S.2
  • 6
    • 0027151141 scopus 로고
    • Analysis and synthesis of feedforward ward neural networks using discrete affine wavelet forms
    • Jan.
    • Y. C. Pati and P. S. Krishnaprasad, “Analysis and synthesis of feedforward ward neural networks using discrete affine wavelet forms,” IEEE Trans. Neural Networks, vol. 4, no. 1, pp. 73–85, Jan. 1993.
    • (1993) IEEE Trans. Neural Networks , vol.4 , Issue.1 , pp. 73-85
    • Pati, Y.C.1    Krishnaprasad, P.S.2
  • 7
    • 33846965831 scopus 로고
    • Regressor selection and wavelet network construction
    • Apr.
    • Q. Zhang, “Regressor selection and wavelet network construction,” INRIA Tech. Rep. 709, Apr. 1993.
    • (1993) INRIA Tech. Rep 709
    • Zhang, Q.1
  • 8
    • 84939343474 scopus 로고
    • Using wavelet network in nonparametric estimation
    • Q. Zhang, “Using wavelet network in nonparametric estimation,” IRISA Tech. Rep. 833, 1994.
    • (1994) IRISA Tech. Rep. 833
  • 9
    • 0025482241 scopus 로고
    • The wavelet transform, time-frequency localization and signal analysis
    • Sep.
    • I. Daubechies, “The wavelet transform, time-frequency localization and signal analysis,” IEEE Trans. Inform. Theory, vol. 36, no. 5, pp. 961–1005, Sep. 1990.
    • (1990) IEEE Trans. Inform. Theory , vol.36 , Issue.5 , pp. 961-1005
    • Daubechies, I.1
  • 11
    • 85013540873 scopus 로고
    • Multifrequency wavelet decomposition
    • L. Schumacker and G. Webb, Eds. Boston: Academic
    • C. K. Chui and X. L. Shi, “Multifrequency wavelet decomposition,” in Recent Advances in Wavelet Analysis, L. Schumacker and G. Webb, Eds. Boston: Academic, 1994, pp. 155–189.
    • (1994) Recent Advances in Wavelet Analysis , pp. 155-189
    • Chui, C.K.1    Shi, X.L.2
  • 12
    • 0002432565 scopus 로고
    • Multivariate adaptive regression splines
    • J. H. Friedman, “Multivariate adaptive regression splines,” Annals Statistics, vol. 19, no. 1, pp. 1–1417, 1991.
    • (1991) Annals Statistics , vol.19 , Issue.1 , pp. 1-1417
    • Friedman, J.H.1
  • 13
    • 0026118624 scopus 로고
    • A tree-structured adaptive network for function approximation in high-dimensional areas
    • Mar.
    • T. D. Sanger, “A tree-structured adaptive network for function approximation in high-dimensional areas,” IEEE Trans. Neural Networks, vol. 2, no. 2, pp. 285–293, Mar. 1991.
    • (1991) IEEE Trans. Neural Networks , vol.2 , Issue.2 , pp. 285-293
    • Sanger, T.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.