Signal representation using adaptive Wave-Net
Chun‐Ta Chen, M.R. Azimi-Sadjadi, Chunhua Yuan · Proceedings of International Conference on Neural Networks (ICNN'97) · 2002
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.