This paper presents a 4th-order CTDSM with PVT-insensitive inverter-based OTAs. In order to make CTDSM adapted for technology migration, the inverter-based OTA is used in the loop filter, which is easier to scale with...
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In this paper, a novel H-slot resonator of size 30 mm×20 mm×1.56 mm for fracture detection, backed with a perfect electric conductor (PEC), designed at 2.54 GHz is presented, and its performance is evaluated...
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Few‐shot image classification is the task of classifying novel classes using extremely limited labelled *** perform classification using the limited samples,one solution is to learn the feature alignment(FA)informati...
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Few‐shot image classification is the task of classifying novel classes using extremely limited labelled *** perform classification using the limited samples,one solution is to learn the feature alignment(FA)information between the labelled and unlabelled sample *** FA methods use the feature mean as the class prototype and calculate the correlation between prototype and unlabelled features to learn an alignment ***,mean prototypes tend to degenerate informative features because spatial features at the same position may not be equally important for the final classification,leading to inaccurate correlation ***,the authors propose an effective intraclass FA strategy that aggregates semantically similar spatial features from an adaptive reference prototype in low‐dimensional feature space to obtain an informative prototype feature map for precise correlation ***,a dual correlation module to learn the hard and soft correlations was developed by the *** module combines the correlation information between the prototype and unlabelled features in both the original and learnable feature spaces,aiming to produce a comprehensive cross‐correlation between the prototypes and unlabelled *** both FA and cross‐attention modules,our model can maintain informative class features and capture important shared features for *** results on three few‐shot classification benchmarks show that the proposed method outperformed related methods and resulted in a 3%performance boost in the 1‐shot setting by inserting the proposed module into the related methods.
Circuit learning has gained significant attention due to machine learning advancements and approximate synthesis applications. The task is to learn a circuit to model an unknown Boolean function subject to different d...
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Qubit mapping is crucial in optimizing the performance of quantum algorithms for physical executions on quantum computing architectures. Many qubit mapping algorithms have been proposed for superconducting systems rec...
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A 12.93–16 Gb/s reference-less and baud-rate clock and data recovery (CDR) circuit with a one-tap speculative decision-feedback equalizer (DFE) is presented. By using the semirotational frequency detection (SRFD), a ...
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A novel transformer combiner structure for watt-level CMOS power amplifier design is presented in this brief. The proposed active skewered transformer (AST) utilizes the slab inductor as the secondary winding and over...
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To achieve the power, performance, and area (PPA) target in modern semiconductor design, the trend to go for More-than-Moore heterogeneous integration by packing various components/dies into a package becomes more obv...
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Polar codes are the first error-correcting code proven to achieve channel capacity based on infinite code length. The Successive Cancellation List Flip (SCLF) decoding algorithm was proposed by flipping an erroneous b...
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A Fourier-based fast 3-D ultrasound imaging method using row-column-addressed (RCA) 2-D arrays is presented. The row elements in an RCA array are activated sequentially, and all the column elements are used to receive...
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