An implementation of Manchester coding is being described in this paper. Manchester coding technique is a digital coding technique in which all the bits of the binary data are arranged in a particular ...
Most learning-based speech enhancement pipelines depend on paired clean–noisy recordings, which are expensive or impossible to collect at scale in real-world conditions. Unsupervised routes like ...
Communication-system designers have always had to deal with trade-offs among data reliability, efficient use of available spectrum, data throughput, and cost. Error-correction coding (ECC) is one of ...
test and verify the Reed-Solomon codec. Each of these steps is important, and missing one results in developing hardware that does not work the first time and must be re-created. For example, it is ...
Abstract: In this paper, disruptive research using generative diffusion models (DMs) with an attention-based encoder-decoder backbone is conducted to automate the sizing of analog integrated circuits ...
Abstract: Image deblurring is one of the classic tasks in the field of computer vision, holding significant research importance and practical value. The Multi-Input Multi-Output (MIMO) encoder-decoder ...
SSDD is a single-step diffusion decoder with applications to image generation. It replaces the usual decoder of auto-encoders such as used by latent diffusion models with a GAN-free model training ...
Brain–Computer Interface (BCI) serves as the core technology connecting the human brain to external devices, with non-invasive electroencephalography (EEG) emerging as the mainstream research ...
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