Aminian M, Aminian F. Neural-network based analog-circuit fault diagnosis using wavelet transform as preprocessor[J]. IEEE Trans. Circuits. Syst.-II, 2000, 44(3): 151-156.
[3]
Charles K Chui. An introduction to wavelets[M]. Singapore: Academic Press, 1992.
[4]
Cande’s E J, Donoho D L. Ridgelets: a key to higher-dimensional intermittency[J]. Philos. Trans. R. Soc. Lond. A, 1999, 35(17): 2495-2509.
[5]
Cande’s E J. Ridgelets and the representation of mutilated sobolev functions[J]. SIAM J.Math. Anal. 1999, 33(2): 2495-2509.
[6]
Yang S, Wang M, Jiao L. Ridgelet kernel regression[J]. Neurocomputing, 2007, 70(16): 3046-3055.
[7]
Do M N, Vetterli M. The finite ridgelet transform for image representation[J]. IEEE Trans. Image Process, 2003, 12(1): 16-28.
[8]
Madan M Gupta, Liang Jin, Noriyasu Homma. Static and dynamic neural nework[M]. New York: IEEE Press, 2003.
[9]
Bandler J W , Salama A E. Fault diagnostic of analog circuits[J]. Proc. IEEE, 1985, 73: 1279-1325.
[10]
Aminian F, Aminian M, Collins H W. Analog fault diagnosis of actual circuits using neural networks[J]. IEEE Trans.Instrum.Meas., 2002, 51(3): 544-550.
[11]
He Y, Tan Y, Sun Y. Wavelet neural network approach for fault diagnosis of analog circuits[J]. IEE Proc.-Circuits Devices Syst., 2004, 151(4): 379-384.
[12]
Mallat S. A wavelet tour of signal processing[M]. 2ed. Singapore: Academic Press, 1999.
[13]
Cand’es E. Ridgelets: theory and applications [D].: Stanford University, 1998.
[14]
Candes E J. Harmonic analysis of neural netwoks[J]. Applied and Computational Harmonic Analysis, 1999, 6(2): 197-218.
[15]
Donoho D L. Orthonormal ridgelets and linear singularities[J]. SIMA J. Math. Anal., 2000, 31(5): 1062-1099.
[16]
Haykin S. Neural networks: a comprehensive foundation[M]. 2nd ed. New York: IEEE Computer Society Press, 1999.
