Abstract: Subarraying techniques are promising for achieving performance and cost tradeoffs in the design of a hybrid analog–digital array. However, previous approaches have paid little attention to ...
Abstract: Deep neural networks have demonstrated highly competitive performance in super-resolution (SR) for natural images by learning mappings from low-resolution (LR) to high-resolution (HR) images ...
DSP-SIMD is an open source toolkit designed for efficient Digital Signal Processing using SIMD (Single Instruction, Multiple Data) techniques. This toolkit aims to provide high-performance, reusable ...
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