Abstract: Deep learning has shown great promise in hyperspectral unmixing (HU), especially the unmixing methods based on autoencoder (AE) networks, which are the most prevalent these days. Since most ...
Abstract: This paper presents an energy-efficient multiplier architecture optimized for image processing applications. The proposed design modifies the traditional $4: 2$ compressor within the partial ...
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