• Journal of Infrared and Millimeter Waves
  • Vol. 21, Issue 1, 1 (2002)
[in Chinese]1, [in Chinese]1, [in Chinese]1, and [in Chinese]2
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  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Idenification on target profiles of mmw radar based on wavelet neural network[J]. Journal of Infrared and Millimeter Waves, 2002, 21(1): 1 Copy Citation Text show less
    References

    [1] Mallat S. Theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Pattern Analysis and Machine Intelligence; 1989;11(7):674-693

    [2] Daubechies I. The wavelet transform; time-frequency localization and signal analysis. IEEE Trans. Information Theory; 1990;36(9):961-1054

    [3] Zhang Q; Benveniste A. Wavelets networks. IEEE Trans. Neural Networks;1992;3(6):889-898

    [4] Zhang J; Walter G G; Miao Y; et al. Wavelet neural networks for function learning.IEEE Trans. Signal Processing; 1995;43(6):1485-1496

    [5] Chen S; Cowan CFN; Grant P M. Orthogonal least squares learning algorithm for radial basis function networks. IEEE Trans. Neural Networks;1991;2(2):302-309

    [6] Wechner D R. High Resolution Radar. Boston: Artech House; 1987

    [7] Hurold H Suz. Neural network adaptive wavelets for signal representation and classification. Optical Engineering; 1992;31(9):1907-1916

    [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Idenification on target profiles of mmw radar based on wavelet neural network[J]. Journal of Infrared and Millimeter Waves, 2002, 21(1): 1
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