| 摘要 |
Artificial neural networks are configured or programmed to implement or embody wavelet transforms or portions thereof such as filters. The processing elements or neurons are connected to each other in a manner that reflects the matrix multiplications that characterize wavelet transforms. The neural networks can embody one-dimensional, two-dimensional and greater wavelet transforms over one or more octaves. The configured neural networks can thus be used for image processing, audio processing, compression and other uses in the manner of conventional wavelet transform logic.
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