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The core innovation lies in replacing the traditional DETR backbone with ConvNeXt, a convolutional neural network inspired by ...
To address these issues, a Convolutional Encoder- Decoder with Scale-Recursive Reconstructor (ConvED-SR) is proposed for SEEG speech decoding. ConvED-SR first extracts multiscale speech-related ...
In this paper, an efficient deep convolutional encoder-decoder network framework is proposed to remove the noise from ECG signal, which is termed as `DeepCEDNet'. This network is able to learn a ...
Inspired by the global learning strategies of FPGA [50] and SSDGL [51], we propose a novel GLNet for high-dimensional image classification, as shown in Figure 1, which utilizes a fully convolutional ...
Molecules like DNA are capable of storing large amounts of data without requiring an energy source, but accessing this ...
April 21, 2022-- Xylon has just revealed two new IP products for lossless and on-the-fly MJPEG video compression and decompression. New logiJPGE-LS and logiJPGD-LS IP cores from the logicBRICKS by ...
AR4JA LDPC decoder is a configurable design that allows runtime configuration for decoding different code rates (i.e., 1/2, 2/3 and 3/4). To obtain high throughput, two different levels of parallelism ...
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