Next-generation wireless systems utilize large signal band-widths to meet the growing data rate demands of emerging applications and to provide enhanced resolution for wireless sensing and imaging. This poses signific...
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A two-layered high Gain and wide Bandwidth Metamaterial Antenna working at 26 GHz for mm-Wave applications is presented in this paper. The antenna has an overall compact size of 12.4 x 12.4 x 8.38 mm3. It is realized ...
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This paper introduces a novel adaptation approach for first-order pre- and de-emphasis filters, an essential tool in many speech and audio codecs to increase coding efficiency and perceived quality. The proposed zero-...
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The size of spatial receptive fields, from the early 3×3 convolutions in VGGNet to the recent 7×7 convolutions in ConvNeXt, has always played a critical role in architecture design. In this paper, we propose...
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The size of spatial receptive fields, from the early 3×3 convolutions in VGGNet to the recent 7×7 convolutions in ConvNeXt, has always played a critical role in architecture design. In this paper, we propose a Mixture of Receptive Fields (MoRF) instead of using a single receptive field. MoRF contains the combinations of multiple receptive fields with different sizes, e.g., convolutions with different kernel sizes, which can be regarded as experts. Such an approach serves two functions: one is to select the appropriate receptive field according to the input, and the other is to expand the network capacity. Furthermore, we also introduce two types of routing mechanisms, hard routing and soft routing to automatically select the appropriate receptive field experts. In the inference stage, the selected receptive field experts are merged via re-parameterization to maintain a similar inference speed compared to the single receptive field. To demonstrate the effectiveness of MoRF, we integrate the MoRF concept into multiple architectures, e.g., ResNet and ConvNeXt. Extensive experiments show that our approach outperforms the baselines in image classification, object detection, and segmentation tasks without significantly increasing the inference time. Copyright 2024 by the author(s)
This paper introduces a new three-phase AC-AC converter with galvanic isolation, reduced power conversion stages and isolated DC ports. The new converter combines two dual active half-bridge (DAHB) converters with two...
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Handwritten digit recognition remains a pivotal area in machine learning and computer vision, essential for applications like license plate identification, form processing, and historical document reading. Addressing ...
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Reconfigurable intelligent surface (RIS) is pivotal for beyond 5G networks in regards to the surge demand for reliable communication in unmanned aerial vehicle (UAV) networks. This paper presents an innovative approac...
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The following work proposes the architecture and analysis of a unique implantable antenna. The design is engineered for biomedical applications within the Industrial, Scientific, and Medical (ISM) band. Its performanc...
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In this work, a two-port Multiple Input Multiple Output (MIMO) antenna with a metamaterial surface for mm-Wave 5G MIMO Applications is proposed. The two-port MIMO antenna has a compact size of 10 x 20 x 0.78 mm3 and i...
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Detecting low Radar Cross Section (RCS) targets like UAVs demands advanced radar technologies with high resolution and sensitivity. This study evaluates Beamforming and MIMO radar technologies for their effectiveness ...
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