Add to ORKGAnalog neural networks with feedback can be used to implement l(Winner-Take-All (KWTA) networks. In turn, KWTA networks can be used as decoders of a class of nonlinear error-correcting codes. By interconnecting such KWTA networks, we can construct decoders capable of decoding more powerful codes. We consider several families of interconnected KWTA networks, analyze their performance in terms of coding theory metrics, and consider the feasibility of embedding such networks in VLSI technologies
Low-density parity-check (LDPC) codes have been one of the most popular error correction candidates ...
Nesta dissertação estudamos principalmente métodos de decodificação de códigos corretores de erros l...
Winner-take-all (WTA) neural networks using pulse-firing processing elements are introduced. In the ...
Analog neural networks with feedback can be used to implement l(Winner-Take-All (KWTA) networks. In ...
We demonstrate the use of a continuous Hopfield neural network as a K-WinnerTake-All (KWTA) network....
Several ways of relating the concept of error-correcting codes to the concept of neural networks are...
Finding optimal correction of errors in generic stabilizer codes is a computationally hard problem, ...
In this paper, we analyze applicability of single- and two-hidden-layer feed-forward artificial neur...
Hinging on ideas from physical-layer network coding, some promising proposals of coded random access...
We have designed, fabricated, and tested a series of compact CMOS integrated circuits that realize t...
While random linear network coding is a powerful tool for disseminating information in communication...
When we browse via WiFi on our laptop or mobile phone, we receive data over a noisy channel. The rec...
AbstractThis paper presents a unified method to construct decoders which are implemented by a feedfo...
Equalization and channel decoding are “traditionally” two cascade processes at the receiver side of ...
In this paper, we study the problem of maximizing an objective function over the discrete set {−1, 1...
Low-density parity-check (LDPC) codes have been one of the most popular error correction candidates ...
Nesta dissertação estudamos principalmente métodos de decodificação de códigos corretores de erros l...
Winner-take-all (WTA) neural networks using pulse-firing processing elements are introduced. In the ...
Analog neural networks with feedback can be used to implement l(Winner-Take-All (KWTA) networks. In ...
We demonstrate the use of a continuous Hopfield neural network as a K-WinnerTake-All (KWTA) network....
Several ways of relating the concept of error-correcting codes to the concept of neural networks are...
Finding optimal correction of errors in generic stabilizer codes is a computationally hard problem, ...
In this paper, we analyze applicability of single- and two-hidden-layer feed-forward artificial neur...
Hinging on ideas from physical-layer network coding, some promising proposals of coded random access...
We have designed, fabricated, and tested a series of compact CMOS integrated circuits that realize t...
While random linear network coding is a powerful tool for disseminating information in communication...
When we browse via WiFi on our laptop or mobile phone, we receive data over a noisy channel. The rec...
AbstractThis paper presents a unified method to construct decoders which are implemented by a feedfo...
Equalization and channel decoding are “traditionally” two cascade processes at the receiver side of ...
In this paper, we study the problem of maximizing an objective function over the discrete set {−1, 1...
Low-density parity-check (LDPC) codes have been one of the most popular error correction candidates ...
Nesta dissertação estudamos principalmente métodos de decodificação de códigos corretores de erros l...
Winner-take-all (WTA) neural networks using pulse-firing processing elements are introduced. In the ...