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Sampling theory for graph signals with applications to semi-supervised learning
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Parallel implementations of the discrete wavelet transform and hyperspectral data compression on reconfigurable platforms: approach, methodology and practical considerations
Statistical enhancement methods for immersive audio environments and compressed audio
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Noise-robust spectro-temporal acoustic signature recognition using nonlinear Hebbian learning
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Critically sampled wavelet filterbanks on graphs