This paper presents a neural decoder for trellis coded modulation (TCM) schemes. Decoding is performed with Radial Basis Function Networks and Multi-Layer Perceptrons. The neural decoder effectively implements an adaptive Viterbi algorithm for TCM which learns communication channel imperfections. The implementation and performance of the neural decoder for trellis encoded 16-QAM with amplitude imbalance are analyzed
In the decoding of linear block codes, it was shown that noticeable gains in terms of bit error rate...
Bibliography: leaves. 63-66.Neural networks have been applied to a number of problems over the past ...
In the late seventies and early eighties a technique known as Trellis Coded Modulation (TCM) was dev...
This paper presents a neural decoder for trellis coded modulation (TCM) schemes. Decoding is perform...
Continuous phase modulation (CPM) schemes are attractive for use in peak-power limited transmission ...
An efficient Viterbi decoder is introduced in this paper; it is called Viterbi decoder with window s...
Recently deep neural networks have been successfully applied in channel coding to improve the decodi...
The report details the design of a dedicated Viterbi decoder chip set for an Ungerboek (3,2/3) Trell...
Convolutional codes are error correction technique used in noisy channels. Viterbi Algorithm is the ...
Finding optimal correction of errors in generic stabilizer codes is a computationally hard problem, ...
金沢大学理工研究域電子情報学系A neural demodulator is proposed for quadrature amplitude modulation (QAM) signals. I...
Error control coding, or channel coding, is an essential part of a communication system. Recent inve...
Hinging on ideas from physical-layer network coding, some promising proposals of coded random access...
Use Neural Networks for the prediction of a communication channel, chaning the training pilot paradi...
Analog neural networks with feedback can be used to implement l(Winner-Take-All (KWTA) networks. In ...
In the decoding of linear block codes, it was shown that noticeable gains in terms of bit error rate...
Bibliography: leaves. 63-66.Neural networks have been applied to a number of problems over the past ...
In the late seventies and early eighties a technique known as Trellis Coded Modulation (TCM) was dev...
This paper presents a neural decoder for trellis coded modulation (TCM) schemes. Decoding is perform...
Continuous phase modulation (CPM) schemes are attractive for use in peak-power limited transmission ...
An efficient Viterbi decoder is introduced in this paper; it is called Viterbi decoder with window s...
Recently deep neural networks have been successfully applied in channel coding to improve the decodi...
The report details the design of a dedicated Viterbi decoder chip set for an Ungerboek (3,2/3) Trell...
Convolutional codes are error correction technique used in noisy channels. Viterbi Algorithm is the ...
Finding optimal correction of errors in generic stabilizer codes is a computationally hard problem, ...
金沢大学理工研究域電子情報学系A neural demodulator is proposed for quadrature amplitude modulation (QAM) signals. I...
Error control coding, or channel coding, is an essential part of a communication system. Recent inve...
Hinging on ideas from physical-layer network coding, some promising proposals of coded random access...
Use Neural Networks for the prediction of a communication channel, chaning the training pilot paradi...
Analog neural networks with feedback can be used to implement l(Winner-Take-All (KWTA) networks. In ...
In the decoding of linear block codes, it was shown that noticeable gains in terms of bit error rate...
Bibliography: leaves. 63-66.Neural networks have been applied to a number of problems over the past ...
In the late seventies and early eighties a technique known as Trellis Coded Modulation (TCM) was dev...
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