Abstract: Automatic modulation classification (AMC) is one of the fundamental technologies in adaptive communication systems, supporting various tasks such as spectrum surveillance and cognitive radio ...

Abstract: Accelerated magnetic resonance imaging (MRI) re-construction is a challenging and ill-posed inverse problem due to severe k-space undersampling. In this paper, we propose ReconFormer-EDR, a ...

READING, Pa.—Miri Technologies has unveiled the V410 live 4K video encoder/decoder for streaming, IP-based production workflows and AV-over-IP distribution, which will make its world debut at ISE 2026 ...

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...

- Driven by the **output**, attending to the **input**. - Each word in the output sequence determines which parts of the input sequence to attend to, forming an **output-oriented attention** mechanism ...

I want to train pretrain a sentence transformer using TSDAE. We have previously used all-MiniLM-L6-v2 as a checkpoint where we finetuned with MultipleNegativeRankingLoss with the main downstream task ...

I wrote a bit of VHDL for generating inc/dec pulses from quadrature rotary encoders like the CTS Electrocomponents ones I bought from Digikey for a project I worked on recently. This debounce circuit ...