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Signal Design for Improved Reliability
1969It was recognized very early during the development of communications that the possible transmission rate of symbols of a communication channel depended on its frequency response of attenuation and phase shift. For instance, the famous theorem by Nyquist [1] states that one independent symbol may be transmitted per time interval of duration Δ through ...
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Improving link reliability complexity trade-off by exploiting reliable feedback signaling
2010 7th International Symposium on Wireless Communication Systems, 2010In this paper, two retransmission schemes that rely on reliable reverse link for error-free feedback message delivery are proposed. Unlike the conventional automatic repeat request schemes, the proposed schemes do not require the use of cyclic-redundancy-check bits for error detection. The first scheme is based on choosing one or more predefined packet
Mohamed A. M. Hassanien, Pavel Loskot
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Reliable cooperative communications: A signal processing approach
2011 - MILCOM 2011 Military Communications Conference, 2011We consider cooperative communications where nodes forward information for each other to achieve reliable communication. Cooperative communication is realized through various protocols such as Decode-and-Forward which are primarily designed with the assumption that nodes are always willing to cooperate.
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Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2017
Gabriele B. Papini +5 more
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Gabriele B. Papini +5 more
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Large-Signal Reliability Analysis of SiGe HBT Cascode Driver Amplifiers
IEEE Transactions on Electron Devices, 2015Michael A. Oakley +4 more
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A hybrid method for signal probability and reliability estimation with combinational circuits
The Integration VLSI Journal, 2022Chunhong Chen, Suoyue Zhan
exaly
Secure and reliable deep learning in signal processing.
2021In conventional signal processing approaches, researchers need to manually extract features from raw data that can better describe the underlying problem. Such a process requires strong domain knowledge about the given problems. On the contrary, deep learning-based signal processing algorithms can discover features and patterns that would not be ...
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International Journal of Electrical Power and Energy Systems, 2021
Carmen L T Borges, Sérgio Gomes
exaly
Carmen L T Borges, Sérgio Gomes
exaly

