WST
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Related Articles from SNS
Masked Wavelet Scattering Transform Neural Field for Sound Field Reconstruction
arXiv:2606.04370v1 Announce Type: cross Abstract: In this paper, we propose a reconstruction framework that leverages the Wavelet Scattering Transform (WST) as a multi-scale feature extractor to impose statistical priors under sparse observation conditions. The reconstruction problem is formulated as an optimization task and solved using a neural field, with the WST incorporated into the training loss function. As a proof of concept, we validate the proposed method on HRTF upsampling.