Title :
Signal representation using adaptive Wave-Net
Author :
Chen, Chun-Ta ; Azimi-Sadjadi, Mahmood R. ; Yuan, Chunhua
Author_Institution :
Dept. of Electr. Eng., Colorado State Univ., Fort Collins, CO, USA
Abstract :
In this paper, an adaptive wavelet network (Wave-Net) is introduced for optimal signal representation using continuous wavelet transform. This adaptive Wave-Net has the ability to adapt the number of hidden-layer nodes or wavelet basis to the characteristics of the signal. A node creation scheme is proposed to accomplish this structural adaptability. The wavelet coefficients for the specific signal representation problems are obtained by updating the weights of the adaptive Wave-Net using the conjugate gradient method. The effectiveness of the proposed adaptive Wave-Net is demonstrated on a signal representation example and the results are compared with those of the standard Wave-Net structure
Keywords :
adaptive systems; conjugate gradient methods; feedforward neural nets; signal representation; wavelet transforms; RBF network; adaptive wavelet network; conjugate gradient method; hidden-layer nodes; node creation; signal representation; structural adaptability; wavelet transform; Adaptive systems; Continuous wavelet transforms; Discrete wavelet transforms; Feature extraction; Fourier transforms; Gradient methods; Neural networks; Signal representations; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.614342
