Quantum dot cellular Automata technology is used in this paper which overcomes the design constraints of nanoscale CMOS circuits. This paper presents the analysis of 2:4 decoder circuit using four different methodologies. QCA based Decoder circuit is implemented using coupled majority voter minority gate, 45 0 rotated cells, multilayer wire crossings and five input Majority Voter gate. Comparat...

A common method for stopping error propagation in encoded video is to transmit intracoded blocks whenever errors occur, but this results in significantly increased bitrate. Error propagation can also be stopped by synchronizing the state of the encoder to that of the decoder. For example, one may emulate and repeat the entire decoding – including the channel errors – inside the encoder. This ap...

We propose a new decoder based on a generalized confidencescore. The generalized confidence score is defined as a product of confidence scores obtained from confidence information sources such as likelihood, likelihood ratio, duration, duration ratio, language model probabilities, supra-segmental information etc. All confidence information sources are converted into confidence scores by a confi...

This paper presents a novel Random Neural Network (RNN) based soft decision decoder for block codes. One advantage of the proposed decoder over conventional serial algebraic decoders is that noisy codewords arriving in non binary form can be corrected without rst rounding them to binary form. Another advantage is that the RNN, after being trained, has a simple hardware realization that makes it...

We demonstrate that an attention-based encoder-decoder model can be used for sentence-level grammatical error identification for the Automated Evaluation of Scientific Writing (AESW) Shared Task 2016. The attention-based encoder-decoder models can be used for the generation of corrections, in addition to error identification, which is of interest for certain end-user applications. We show that ...