Wavelet scattering is a redundant time-frequency transform that was shown to be powerful tool in signal classification. It shares the convolutional architecture with neural networks, but it offers some advantages, including faster training and small sets. However, introduces redundancy along frequency axis, especially for filters have high degree of overlap. This naturally leads need dimensiona...