The decoding of turbo codes is based on an iterative structure constructed from two MAP decoders, one for each constituent encoder. A general block diagram of a turbo decoder is shown in fig.2. Each ...

A data flow diagram is shown below. Figure 1. H.264 encoder dataflow The initial step is ... pixels must be identical to those available for the decoder, it follows that each neighboring block must ...

The key to addressing these challenges lies in separating the encoder and decoder components of multimodal ... for visual data and transformer-based architectures for audio and text.

Researchers from Nanjing University and ByteDance Seed Vision introduce the Decoupled Diffusion Transformer (DDT), which separates the model into a dedicated condition encoder for semantic extraction ...

What is “BERT (Bidirectional Encoder Representations from Transformers)”? BERT, or Bidirectional Encoder Representations from Transformers, is a deep learning model developed by Google that ...

and transformer encoder), giving little attention to the transformer decoder. However, we argue that its strong capability to capture contextual dependencies and generate accurate features holds ...