An Encoder-decoder architecture in machine learning efficiently translates one sequence data form to another.

An encoder is a device which transforms the data into some bits known only to it and the decoder is a device which transforms those coded bits to generate the original data again.

January 9, 2023 - Global IP Core Sales - The new CCSDS AR4JA LDPC Encoder and Decoder FEC IP Core is a configurable design that allows runtime configuration for decoding different code rates (i.e., ...

The What: ZeeVee is introducing the ZyPer4K-XS, smaller-footprint encoder and decoder models with the performance of its premier SDVoE and AVoIP signal distribution solutions. [ZeeVee Upgrades ZyPer ...

Rotary encoder decode for Arduino It is amazing how many Arduino programmes for decoding rotary encoders start with something like: “I looked at all the available rotary encoder sketches and none of ...

A Solution: Encoder-Decoder Separation The key to addressing these challenges lies in separating the encoder and decoder components of multimodal machine learning models.

Quadrature encoders have many uses in position-sensing applications. This implementation uses a Xilinx complex programmable logic device (CPLD) to count the pulses from the encoder ...