In wireless sensor networks, multi-way relaying is a very common network configuration, where multiple nodes exchange information via a single relay over uncorrelated fading channels. In such configuration, node pair-...
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In wireless sensor networks, multi-way relaying is a very common network configuration, where multiple nodes exchange information via a single relay over uncorrelated fading channels. In such configuration, node pair-wise communication together with physical-layer network coding (PNC) at the relay node provides a good trade-off between spectral efficiency and error performance. A joint channel decoding-PNC algorithm employed at the relay can further improve the bit error rate performance. This study proposes an improved joint channel decoding-PNC algorithm for M-ary phase shift keying modulated multi-way wireless relay systems. The proposed algorithm can achieve an additional diversity gain by exchanging bit-level or symbol-level soft information between the constitute decoders decoding different information pairs. Moreover, several schemes are proposed for exchange of the soft information between the parallely operating channel decoders. Simulation results demonstrate improved error and convergence performance of the proposed algorithm over the existing algorithms at the expense of non-significant increase in computational complexity.
The research on the expression of emotion in human-computer dialogue can greatly improve the user experience. Existing research has paid a lot of attention to how to generate specific emotional content and how to impr...
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The research on the expression of emotion in human-computer dialogue can greatly improve the user experience. Existing research has paid a lot of attention to how to generate specific emotional content and how to improve the extraction rate of emotions, while ignoring the reduction of emotion expression caused by factors such as topics and emotions added to the encoder. This paper proposes a novel Topic-extended Emotional Conversation Generation Model Based on joint Decoding (TECM-JD). The model embeds the specified emotion category as an additional input into the emotional independent unit of the decoder, in order to reduce the expression of the content affected by adding emotion into the model. The joint attention mechanism is used to obtain the input sequence content and the input sequence topic word content obtained by the Twitter LDA model, which ensures that the output topic and the input are under the same topic. The experimental results show that the proposed model can generate richer emotional content related to the topic and have good performance and are superior to traditional dialogue models.
In this paper we propose an adaptive Wyner-Ziv (WZ) coding scheme for non-binary correlated sources with side information at the decoder. At the encoder, a low density parity check (LDPC) code is employed to implement...
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ISBN:
(纸本)9781424456383
In this paper we propose an adaptive Wyner-Ziv (WZ) coding scheme for non-binary correlated sources with side information at the decoder. At the encoder, a low density parity check (LDPC) code is employed to implement Slepian-Wolf (SW) coding for each bit-plane independently. The joint "source-channel" decoder, which combines SW decoding and dequantizing in a single step, preserves the symbol-domain correlation and decreases the distortion. Moreover, the incorporation of particle-based belief propagation (BP) in the decoder can extend the scheme to perform an online estimation of the correlation and enhance the BP decoding performance simultaneously. Our proposed framework is universal and can be applied to any parametric correlation model.
We show that the recently proposed integer-forcing linear receiver provides an attractive approach to the problem of mitigating external interference in MIMO channels. The integer-forcing receiver proceeds by first de...
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ISBN:
(纸本)9781457705953
We show that the recently proposed integer-forcing linear receiver provides an attractive approach to the problem of mitigating external interference in MIMO channels. The integer-forcing receiver proceeds by first decoding a set of full rank integer linear combinations of the data streams. The resulting full rank equations are then inverted to find the original data. By selecting equation coefficients in a direction that depends on both the interference space and the channel matrix, the impact of external interference can be effectively reduced. We show that this technique attains a non-trivial gain over traditional linear receivers. Furthermore, the integer-forcing linear receiver achieves the same generalized degrees of freedom for the M x M MIMO channel with K dimensional external interference as the joint decoder.
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